iPhone 15 Pro
Geekbench AI Score
2449
Single Precision Score
2849
Half Precision Score
2724
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 02:23 AM |
| Views | 5 |
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% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
1813
337.1 IPS |
|
|
Image Classification (Q)
|
96% |
2008
375.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3788
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4201
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3990
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13021
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15021
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14519
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.8 IPS |
|
|
Object Detection (Q)
|
92% |
2476
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
6493
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
8556
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
6797
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10826
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12353
95.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11286
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26745
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32505
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32135
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5687
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5562
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5531
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5700
7.65 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
10.5 IPS |
|
|
Machine Translation (HP)
|
0% |
0
11.0 IPS |
|
|
Machine Translation (Q)
|
0% |
0
9.94 IPS |
