iPhone 15 Pro
Geekbench AI Score
4016
Single Precision Score
6939
Half Precision Score
5632
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xevious |
| Upload Date | September 13 2024 01:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1725
320.7 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.0 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2588
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8194
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
16636
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14340
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
3375
268.7 IPS |
|
|
Object Detection (Q)
|
94% |
2389
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6805
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3865
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7039
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13514
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9366
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21464
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32739
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27538
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5891
217.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4430
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6105
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6123
105.8 IPS |
