iPhone 16 Pro Max
Geekbench AI Score
4599
Single Precision Score
7847
Half Precision Score
6218
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 02:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.0 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3339
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9194
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18314
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15299
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3841
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7382
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4109
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8180
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14279
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9736
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20401
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37268
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30208
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5416
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7378
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6133
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7351
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7381
127.6 IPS |
