iPhone 16 Pro Max
Geekbench AI Score
2867
Single Precision Score
3466
Half Precision Score
3259
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2790
518.8 IPS |
|
|
Image Classification (HP)
|
100% |
2871
533.9 IPS |
|
|
Image Classification (Q)
|
96% |
3003
560.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4175
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4837
78.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4688
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14836
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17723
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17050
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3067
243.2 IPS |
|
|
Object Detection (HP)
|
100% |
3331
264.2 IPS |
|
|
Object Detection (Q)
|
92% |
3168
252.9 IPS |
|
|
Face Detection (SP)
|
100% |
6979
82.9 IPS |
|
|
Face Detection (HP)
|
100% |
10302
122.4 IPS |
|
|
Face Detection (Q)
|
100% |
8083
96.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12617
97.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15009
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14142
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30341
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38896
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37151
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7211
266.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8142
300.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6922
255.6 IPS |
|
|
Text Classification (SP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6241
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6064
8.14 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
9.70 IPS |
|
|
Machine Translation (HP)
|
0% |
0
10.3 IPS |
|
|
Machine Translation (Q)
|
0% |
0
9.06 IPS |
