iPhone 15 Pro
Geekbench AI Score
3785
Single Precision Score
6819
Half Precision Score
5556
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 30 2025 10:02 AM |
| 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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
2984
554.9 IPS |
|
|
Image Classification (Q)
|
96% |
2058
384.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2998
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7471
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
15401
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13276
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
3281
261.2 IPS |
|
|
Object Detection (Q)
|
94% |
2269
180.9 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6639
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3659
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6551
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12751
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8650
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20144
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32599
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26822
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4590
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4354
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5789
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5914
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6750
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6900
119.2 IPS |
