iPhone 15 Pro
Geekbench AI Score
3971
Single Precision Score
6867
Half Precision Score
5620
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2024 12:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1673
311.1 IPS |
|
|
Image Classification (HP)
|
100% |
2885
536.5 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7946
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16445
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14268
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3388
269.7 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6867
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3925
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7146
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13549
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9344
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21246
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32560
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27729
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4968
183.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5845
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5554
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3135
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6164
106.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6036
104.3 IPS |
