iPhone 15 Pro Max
Geekbench AI Score
5070
Single Precision Score
5824
Half Precision Score
5395
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | KickBench |
| Upload Date | May 24 2025 12:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2108
392.0 IPS |
|
|
Image Classification (HP)
|
100% |
1870
347.8 IPS |
|
|
Image Classification (Q)
|
96% |
1577
294.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3660
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4018
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13107
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13951
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13452
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (Q)
|
92% |
2366
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
6425
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
8265
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
6717
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11041
85.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11837
91.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11008
86.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27663
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31654
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30751
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5894
217.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5454
201.4 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5698
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1466
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1483
25.6 IPS |
