iPhone 15 Pro
Geekbench AI Score
5054
Single Precision Score
5944
Half Precision Score
5620
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:36 AM |
| Views | 2 |
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% |
1829
340.2 IPS |
|
|
Image Classification (HP)
|
100% |
1787
332.3 IPS |
|
|
Image Classification (Q)
|
96% |
2079
388.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3780
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4177
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4055
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13057
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14947
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14596
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (Q)
|
92% |
2400
191.6 IPS |
|
|
Face Detection (SP)
|
100% |
6746
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
9299
110.5 IPS |
|
|
Face Detection (Q)
|
100% |
7408
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11354
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12451
95.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11297
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27199
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32974
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31891
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5873
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5220
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5719
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1371
23.7 IPS |
