iPhone 16 Pro Max
Geekbench AI Score
5879
Single Precision Score
6993
Half Precision Score
6644
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2959
550.2 IPS |
|
|
Image Classification (HP)
|
100% |
2861
532.1 IPS |
|
|
Image Classification (Q)
|
96% |
3111
580.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4240
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4890
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4698
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14866
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17627
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16974
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3040
241.2 IPS |
|
|
Object Detection (HP)
|
100% |
3328
264.0 IPS |
|
|
Object Detection (Q)
|
92% |
3128
249.7 IPS |
|
|
Face Detection (SP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
10218
121.4 IPS |
|
|
Face Detection (Q)
|
100% |
7919
94.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12652
97.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14882
114.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13813
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30324
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38402
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38130
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7389
272.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8060
297.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6953
256.8 IPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6132
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1216
21.0 IPS |
