iPhone 15 Pro
Geekbench AI Score
3877
Single Precision Score
6757
Half Precision Score
5532
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 29 2025 11:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1693
314.9 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.5 IPS |
|
|
Image Classification (Q)
|
96% |
2013
376.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3089
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7602
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
15575
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13723
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (HP)
|
97% |
3342
266.1 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6788
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3821
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6798
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13341
103.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9088
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20471
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31563
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26773
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4706
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5712
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4334
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6102
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6088
105.2 IPS |
