iPhone 15 Pro
Geekbench AI Score
3429
Single Precision Score
5154
Half Precision Score
4450
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:02 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% |
1689
314.1 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1997
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14331
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12524
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1614
128.1 IPS |
|
|
Object Detection (HP)
|
97% |
2415
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1849
147.4 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
4543
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
2893
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5431
41.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
8765
67.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6563
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17457
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27604
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23507
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5446
201.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4035
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5017
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5004
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2790
48.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4453
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4492
77.6 IPS |
