iPhone 15 Pro
Geekbench AI Score
3867
Single Precision Score
6868
Half Precision Score
5628
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 22 2025 06:10 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1669
310.4 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.2 IPS |
|
|
Image Classification (Q)
|
96% |
2051
383.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3049
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7638
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16265
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14054
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.5 IPS |
|
|
Object Detection (HP)
|
97% |
3283
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6759
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3817
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6823
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12668
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8925
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20931
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33491
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27242
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4748
175.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4341
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5264
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5176
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7353
127.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7400
127.9 IPS |
