iPhone 15 Pro
Geekbench AI Score
5130
Single Precision Score
5959
Half Precision Score
5450
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 08:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1967
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
1903
353.9 IPS |
|
|
Image Classification (Q)
|
96% |
1500
280.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3673
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4012
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13261
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14461
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14288
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2525
200.2 IPS |
|
|
Object Detection (HP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (Q)
|
92% |
2335
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
6605
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
9188
109.2 IPS |
|
|
Face Detection (Q)
|
100% |
7358
87.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11530
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12715
98.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11374
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27386
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32165
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32003
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5710
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6166
227.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5058
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5669
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5756
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1478
25.5 IPS |
