iPhone 15 Pro
Geekbench AI Score
5003
Single Precision Score
5797
Half Precision Score
5565
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 04:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2211
411.1 IPS |
|
|
Image Classification (HP)
|
100% |
2150
399.9 IPS |
|
|
Image Classification (Q)
|
96% |
1721
321.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3744
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4258
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4084
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13150
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14073
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13014
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
92% |
2437
194.5 IPS |
|
|
Face Detection (SP)
|
100% |
6093
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
8922
106.0 IPS |
|
|
Face Detection (Q)
|
100% |
7043
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11191
86.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11245
86.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11412
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25337
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24523
31.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31117
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5606
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5966
220.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5518
203.7 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5425
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5421
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1709
29.5 IPS |
