iPhone 15 Pro
Geekbench AI Score
5107
Single Precision Score
5886
Half Precision Score
5650
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 08:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1917
356.4 IPS |
|
|
Image Classification (HP)
|
100% |
1777
330.5 IPS |
|
|
Image Classification (Q)
|
96% |
2003
374.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3747
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4208
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4050
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13055
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14977
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14606
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
2552
202.4 IPS |
|
|
Object Detection (Q)
|
92% |
2366
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
6603
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
9145
108.7 IPS |
|
|
Face Detection (Q)
|
100% |
7406
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11417
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12731
98.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11318
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27551
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33325
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32096
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5930
219.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5210
192.4 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5490
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5470
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1545
26.7 IPS |
