iPhone 16 Pro Max
Geekbench AI Score
4715
Single Precision Score
7899
Half Precision Score
6297
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 24 2026 12:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3336
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9703
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18929
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16094
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.7 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7599
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4274
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14514
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10095
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21355
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38014
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31015
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7353
271.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5183
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
6005
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5933
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4191
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7274
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7293
126.0 IPS |
