iPhone 16 Pro Max
Geekbench AI Score
4610
Single Precision Score
7811
Half Precision Score
6228
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 06:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.5 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3348
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9316
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18349
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15491
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2319
184.0 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7510
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
4210
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8113
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14300
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9801
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20094
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37468
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30781
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5416
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7291
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5173
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5842
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5875
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4271
73.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7309
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7286
125.9 IPS |
