iPhone 15 Pro Max
Geekbench AI Score
3726
Single Precision Score
6718
Half Precision Score
5500
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 03:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1585
294.7 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.7 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2951
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7007
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
14822
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12946
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.6 IPS |
|
|
Object Detection (HP)
|
97% |
3265
259.9 IPS |
|
|
Object Detection (Q)
|
94% |
2301
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6576
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3678
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6551
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12488
96.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8715
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19642
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31954
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25824
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4454
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5583
206.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4325
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5705
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5753
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6815
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6899
119.2 IPS |
