iPhone 15 Pro
Geekbench AI Score
3914
Single Precision Score
6819
Half Precision Score
5554
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 19 2024 04:54 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.8 IPS |
|
|
Image Classification (Q)
|
96% |
2009
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2415
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3080
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7846
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
16064
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13955
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (HP)
|
97% |
3319
264.2 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6783
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3845
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6948
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13335
103.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9191
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20809
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32426
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27249
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5901
217.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4353
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6083
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6085
105.1 IPS |
