iPhone 16 Pro Max
Geekbench AI Score
6538
Single Precision Score
8029
Half Precision Score
7653
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 07:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
3073
571.4 IPS |
|
|
Image Classification (HP)
|
100% |
3027
562.8 IPS |
|
|
Image Classification (Q)
|
96% |
3157
589.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4177
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4875
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4718
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14897
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17803
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17329
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (Q)
|
91% |
3576
285.8 IPS |
|
|
Face Detection (SP)
|
100% |
7554
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
11122
132.2 IPS |
|
|
Face Detection (Q)
|
100% |
10425
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13268
102.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15947
122.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14388
112.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31524
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40268
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39055
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7479
276.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8338
307.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6765
249.8 IPS |
|
|
Text Classification (SP)
|
99% |
7085
9.46 KIPS |
|
|
Text Classification (HP)
|
100% |
10987
14.7 KIPS |
|
|
Text Classification (Q)
|
93% |
10587
14.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1780
30.8 IPS |
