iPhone 15 Pro
Geekbench AI Score
5126
Single Precision Score
5881
Half Precision Score
5553
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 06 2025 08:16 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% |
1955
363.5 IPS |
|
|
Image Classification (HP)
|
100% |
1966
365.6 IPS |
|
|
Image Classification (Q)
|
96% |
1790
334.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3767
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4157
67.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4019
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13328
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14420
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14273
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
2638
209.2 IPS |
|
|
Object Detection (Q)
|
92% |
2487
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
6596
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
9203
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
7278
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11562
89.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12656
97.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11174
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27379
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32110
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31888
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5908
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5661
209.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5193
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5672
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5653
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1436
24.8 IPS |
