iPhone 15 Pro
Geekbench AI Score
3940
Single Precision Score
6948
Half Precision Score
5714
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 07:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.2 IPS |
|
|
Image Classification (Q)
|
96% |
2043
381.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3040
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7871
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
16304
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14207
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
97% |
3338
265.8 IPS |
|
|
Object Detection (Q)
|
94% |
2371
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6795
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3810
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6917
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12830
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9009
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21041
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33833
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27949
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4450
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5811
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5871
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7075
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7077
122.3 IPS |
