iPhone 15 Pro
Geekbench AI Score
3539
Single Precision Score
5322
Half Precision Score
4613
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1740
323.5 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
96% |
1649
307.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2061
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7266
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
15298
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13236
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
97% |
2524
200.9 IPS |
|
|
Object Detection (Q)
|
94% |
1932
154.0 IPS |
|
|
Face Detection (SP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4765
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
3032
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5806
44.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
9205
71.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6978
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18487
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28733
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24366
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4206
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4197
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5180
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5173
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2749
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4489
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4490
77.6 IPS |
