iPhone 15 Pro
Geekbench AI Score
5028
Single Precision Score
6037
Half Precision Score
5662
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 12:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1787
332.4 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.5 IPS |
|
|
Image Classification (Q)
|
96% |
2130
397.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3688
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4219
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4069
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13139
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15022
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14588
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (HP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (Q)
|
92% |
2471
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
6526
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
9268
110.1 IPS |
|
|
Face Detection (Q)
|
100% |
7406
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11375
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12899
99.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11847
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27411
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32824
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31668
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5628
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6387
235.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1376
23.8 IPS |
