iPhone 15 Pro
Geekbench AI Score
3795
Single Precision Score
6795
Half Precision Score
5542
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 25 2025 03:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1667
309.9 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.4 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2994
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7465
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
15508
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13419
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
97% |
3260
259.5 IPS |
|
|
Object Detection (Q)
|
94% |
2310
184.2 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6508
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3673
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6558
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12523
96.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8655
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19895
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32645
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26417
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4556
168.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5667
209.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4303
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5806
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5736
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6919
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6967
120.4 IPS |
