iPhone 15 Pro
Geekbench AI Score
3771
Single Precision Score
6745
Half Precision Score
5510
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 05:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1691
314.4 IPS |
|
|
Image Classification (HP)
|
100% |
2989
555.8 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7490
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
15506
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13555
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1696
134.6 IPS |
|
|
Object Detection (HP)
|
97% |
3250
258.7 IPS |
|
|
Object Detection (Q)
|
94% |
2291
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6462
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
3653
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6481
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12367
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8512
66.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19584
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32067
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25962
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4468
165.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5641
208.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4318
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5735
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5723
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6727
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6870
118.7 IPS |
