iPhone 15 Pro
Geekbench AI Score
3825
Single Precision Score
6829
Half Precision Score
5602
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 10:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1673
311.0 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.3 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7545
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15673
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13599
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
97% |
3240
257.9 IPS |
|
|
Object Detection (Q)
|
94% |
2328
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6689
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3774
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6690
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12653
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8782
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20282
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32240
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27216
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5660
209.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4348
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5462
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7308
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7305
126.2 IPS |
