Geekbench AI

Developer: Primate Labs Inc.

Category: Tools

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2.4K installs

47 ratings

221 monthly active users

Revenue not available

Install Trends

Monthly +300

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ASO Keyword Dashboard

Tracking 18 keywords for Geekbench AI in Apple App Store

Developer: Primate Labs Inc. Category: tools Rating: 4.09

Geekbench AI tracks 18 keywords (1 keyword ranks; 17 need traction). Key metrics: 0% top-10 coverage, opportunity 70.8, difficulty 43.8, best rank 31.

Tracked keywords

1 ranked • 17 not ranking yet

Top 10 coverage

Best rank 31 • Latest leader —

Avg opportunity

70.8

Top keyword: vision

Avg difficulty

43.8

Lower scores indicate easier wins

Opportunity leaders

vision

Opportunity: 73.0 • Difficulty: 40.7 • Rank —

Competitors: 85
64.8
tests

Opportunity: 73.0 • Difficulty: 39.6 • Rank —

Competitors: 94
64.4
perform

Opportunity: 73.0 • Difficulty: 41.7 • Rank —

Competitors: 104
68.1
model

Opportunity: 73.0 • Difficulty: 40.5 • Rank —

Competitors: 108
65.3
measure

Opportunity: 73.0 • Difficulty: 39.9 • Rank —

Competitors: 86
65.4

Unranked opportunities

vision

Opportunity: 73.0 • Difficulty: 40.7 • Competitors: 85
tests

Opportunity: 73.0 • Difficulty: 39.6 • Competitors: 94
perform

Opportunity: 73.0 • Difficulty: 41.7 • Competitors: 104
model

Opportunity: 73.0 • Difficulty: 40.5 • Competitors: 108
measure

Opportunity: 73.0 • Difficulty: 39.9 • Competitors: 86

High competition keywords

find

Total apps: 139,104 • Major competitors: 2,765

Latest rank: — • Difficulty: 55.2
world

Total apps: 85,787 • Major competitors: 1,965

Latest rank: — • Difficulty: 53.0
learning

Total apps: 48,882 • Major competitors: 411

Latest rank: — • Difficulty: 49.0
fast

Total apps: 47,599 • Major competitors: 952

Latest rank: — • Difficulty: 50.2
ai

Total apps: 45,614 • Major competitors: 601

Latest rank: — • Difficulty: 50.2

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
machine learning	71	100	34	53 1,546 competing apps Median installs: 350 Avg rating: 4.2	32	31	15 major competitor apps
language	70	100	46	74 26,856 competing apps Median installs: 400 Avg rating: 4.1	—	—	234 major competitor apps
find	66	100	55	86 139,104 competing apps Median installs: 550 Avg rating: 4.2	—	—	2,765 major competitor apps
vision	73	100	41	65 7,432 competing apps Median installs: 400 Avg rating: 4.2	—	—	85 major competitor apps
tests	73	100	40	64 7,075 competing apps Median installs: 500 Avg rating: 4.2	—	—	94 major competitor apps
ai	69	100	50	78 45,614 competing apps Median installs: 550 Avg rating: 4.3	—	—	601 major competitor apps
fast	69	100	50	78 47,599 competing apps Median installs: 700 Avg rating: 4.1	—	—	952 major competitor apps
performance	71	100	45	73 24,352 competing apps Median installs: 400 Avg rating: 4.2	—	—	243 major competitor apps
includes	70	100	47	76 33,776 competing apps Median installs: 450 Avg rating: 4.1	—	—	403 major competitor apps
tasks	72	100	43	70 14,665 competing apps Median installs: 400 Avg rating: 4.1	—	—	171 major competitor apps
perform	73	100	42	68 11,666 competing apps Median installs: 400 Avg rating: 3.9	—	—	104 major competitor apps
world	67	100	53	83 85,787 competing apps Median installs: 700 Avg rating: 4.2	—	—	1,965 major competitor apps
learning	69	100	49	78 48,882 competing apps Median installs: 400 Avg rating: 4.1	—	—	411 major competitor apps
model	73	100	40	65 8,019 competing apps Median installs: 450 Avg rating: 4.0	—	—	108 major competitor apps
measure	73	100	40	65 8,113 competing apps Median installs: 400 Avg rating: 4.0	—	—	86 major competitor apps
machine	73	100	41	65 7,992 competing apps Median installs: 550 Avg rating: 4.0	—	—	194 major competitor apps
ipod	73	100	42	66 9,219 competing apps Median installs: 500 Avg rating: 3.7	—	—	121 major competitor apps
neural	70	100	31	49 807 competing apps Median installs: 500 Avg rating: 4.2	—	—	7 major competitor apps

App Description

Find out how fast your iPhone, iPad, or iPod can perform machine learning tasks with Geekbench AI.

Geekbench AI includes both vision and language tests that model real-world machine learning tasks and applications. The tests measure the machine learning performance of your device's CPU, GPU, and Neural Engine.