iPhone 15 Pro
Geekbench AI Score
5100
Single Precision Score
5951
Half Precision Score
5414
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 03:01 AM |
| 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% |
1922
357.5 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.8 IPS |
|
|
Image Classification (Q)
|
96% |
1464
273.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4195
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4072
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13409
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14651
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14376
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (Q)
|
92% |
2315
184.8 IPS |
|
|
Face Detection (SP)
|
100% |
6610
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
9217
109.5 IPS |
|
|
Face Detection (Q)
|
100% |
7328
87.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11541
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12647
97.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11243
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27317
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32025
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31711
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6057
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5845
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5710
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1426
24.6 IPS |
