iPhone 16 Pro Max
Geekbench AI Score
4477
Single Precision Score
7553
Half Precision Score
6074
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:36 AM |
| Views | 2 |
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% |
1976
367.5 IPS |
|
|
Image Classification (HP)
|
100% |
3433
638.5 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2751
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3214
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8531
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
16993
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14575
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2256
178.9 IPS |
|
|
Object Detection (HP)
|
97% |
3643
290.0 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6921
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3962
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7795
60.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13458
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9262
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21215
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35119
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29295
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7146
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5055
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3746
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6124
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6127
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7224
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7267
125.6 IPS |
