iPhone 15 Pro
Geekbench AI Score
3812
Single Precision Score
25130
Half Precision Score
34432
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 06:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1566
291.3 IPS |
|
|
Image Classification (HP)
|
100% |
11207
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
13594
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16372
265.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21349
346.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7555
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
105204
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
198235
232.3 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
100% |
11675
926.1 IPS |
|
|
Object Detection (Q)
|
91% |
16193
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
34204
406.4 IPS |
|
|
Face Detection (Q)
|
100% |
50376
598.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6849
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71708
552.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
106295
831.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21452
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
199978
257.1 IPS |
|
|
Style Transfer (Q)
|
96% |
236123
304.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4746
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31124
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55894
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5521
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3131
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5290
91.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6441
111.3 IPS |
