iPhone 15 Pro
Geekbench AI Score
3900
Single Precision Score
23076
Half Precision Score
30590
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 01:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1557
289.6 IPS |
|
|
Image Classification (HP)
|
100% |
8342
1.55 KIPS |
|
|
Image Classification (Q)
|
97% |
12923
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1564
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16350
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21329
345.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8024
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
100162
116.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
189101
221.6 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
7960
631.4 IPS |
|
|
Object Detection (Q)
|
91% |
15181
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
32445
385.5 IPS |
|
|
Face Detection (Q)
|
100% |
43506
516.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7054
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
65907
507.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
65970
515.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22181
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
182787
235.0 IPS |
|
|
Style Transfer (Q)
|
96% |
208529
269.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4833
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29792
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41355
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5522
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3077
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6096
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6636
114.7 IPS |
