iPhone 15 Pro Max
Geekbench AI Score
3861
Single Precision Score
7142
Half Precision Score
5865
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Exiledfathom |
| Upload Date | March 06 2026 10:17 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1552
288.7 IPS |
|
|
Image Classification (HP)
|
100% |
2935
545.9 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2981
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6603
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
14698
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13182
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1644
130.4 IPS |
|
|
Object Detection (HP)
|
97% |
3252
258.9 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6708
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3748
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6454
49.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12566
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8843
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19457
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32501
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27416
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5750
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4346
160.5 IPS |
|
|
Text Classification (SP)
|
99% |
5737
7.66 KIPS |
|
|
Text Classification (HP)
|
99% |
9573
12.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9536
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6753
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6833
118.1 IPS |
