iPhone 15 Pro
Geekbench AI Score
5097
Single Precision Score
5983
Half Precision Score
5603
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | April 12 2025 12:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
1950
362.7 IPS |
|
|
Image Classification (Q)
|
96% |
1870
349.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4266
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4097
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13432
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14674
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14283
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
2748
218.0 IPS |
|
|
Object Detection (Q)
|
92% |
2364
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
6258
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
8540
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
7274
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11154
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12068
93.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11220
87.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27283
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33141
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31634
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5895
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5481
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5632
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5683
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1466
25.3 IPS |
