iPhone 16 Pro Max
Geekbench AI Score
4545
Single Precision Score
7684
Half Precision Score
6182
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 12:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.0 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3265
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9116
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17745
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15200
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3704
294.8 IPS |
|
|
Object Detection (Q)
|
94% |
2589
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
3648
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
6919
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
4047
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8092
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13731
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9599
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21440
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36998
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30320
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5421
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7158
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5152
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6266
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6257
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4068
70.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7376
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7313
126.4 IPS |
