iPhone 15 Pro
Geekbench AI Score
4250
Single Precision Score
4784
Half Precision Score
4329
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sunjw8888 |
| Upload Date | August 16 2024 02:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1751
325.6 IPS |
|
|
Image Classification (HP)
|
100% |
1831
340.5 IPS |
|
|
Image Classification (Q)
|
99% |
2384
444.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3085
50.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3919
63.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3891
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15011
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15978
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14560
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
2813
223.1 IPS |
|
|
Object Detection (Q)
|
92% |
2251
179.7 IPS |
|
|
Face Detection (SP)
|
100% |
6828
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8689
103.2 IPS |
|
|
Face Detection (Q)
|
100% |
6113
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11601
89.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12900
99.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13386
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29811
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35721
45.9 IPS |
|
|
Style Transfer (Q)
|
100% |
35681
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6395
236.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6763
249.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5311
196.8 IPS |
|
|
Text Classification (SP)
|
100% |
496
662.1 IPS |
|
|
Text Classification (HP)
|
100% |
538
718.0 IPS |
|
|
Text Classification (Q)
|
93% |
310
416.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1583
27.4 IPS |
