iPhone 15 Pro
Geekbench AI Score
5055
Single Precision Score
5888
Half Precision Score
5675
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 12:24 PM |
| Views | 6 |
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% |
2016
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
1841
342.4 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4265
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4112
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13179
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15052
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14544
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
100% |
2619
207.7 IPS |
|
|
Object Detection (Q)
|
92% |
2479
197.9 IPS |
|
|
Face Detection (SP)
|
100% |
6427
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
8580
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
7010
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10972
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12239
94.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11361
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27301
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32710
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32081
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5804
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5960
220.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5349
197.5 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5711
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1491
25.8 IPS |
