iPhone 15 Pro
Geekbench AI Score
5197
Single Precision Score
5971
Half Precision Score
5436
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Myrdingar |
| Upload Date | September 28 2025 08:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2146
399.0 IPS |
|
|
Image Classification (HP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (Q)
|
96% |
1362
254.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3781
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4196
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4092
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13497
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14697
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14328
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
2817
223.5 IPS |
|
|
Object Detection (Q)
|
92% |
2555
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
6296
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
7026
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11162
86.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12192
93.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11351
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28065
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31889
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32235
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5881
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6039
223.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5438
200.8 IPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5784
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5761
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1372
23.7 IPS |
