iPhone 15 Pro Max
Geekbench AI Score
5010
Single Precision Score
5911
Half Precision Score
5757
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 04:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1829
340.2 IPS |
|
|
Image Classification (HP)
|
100% |
1792
333.2 IPS |
|
|
Image Classification (Q)
|
96% |
2083
389.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3696
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4264
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4151
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13285
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15262
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14783
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (Q)
|
92% |
2466
196.9 IPS |
|
|
Face Detection (SP)
|
100% |
6216
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
8698
103.4 IPS |
|
|
Face Detection (Q)
|
100% |
7091
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10957
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12381
95.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11467
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27066
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33120
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32820
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5817
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5612
207.2 IPS |
|
|
Text Classification (SP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1518
26.2 IPS |
