iPhone 15 Pro
Geekbench AI Score
3934
Single Precision Score
6977
Half Precision Score
5705
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 15 2025 10:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1685
313.3 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.1 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3024
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8023
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
16341
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14295
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (HP)
|
97% |
3336
265.6 IPS |
|
|
Object Detection (Q)
|
94% |
2336
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3786
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6819
52.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12896
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8957
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21156
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33556
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27697
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5812
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4435
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5900
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5901
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7081
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7196
124.4 IPS |
