iPhone 15 Pro
Geekbench AI Score
3830
Single Precision Score
6972
Half Precision Score
5687
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 03:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.7 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3049
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7515
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
16551
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14180
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
97% |
3283
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6771
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3834
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6813
52.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12721
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9001
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20924
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33425
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27528
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4572
168.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4317
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5679
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5624
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7289
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7415
128.1 IPS |
