iPhone 15 Pro
Geekbench AI Score
2452
Single Precision Score
2876
Half Precision Score
2720
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:32 AM |
| Views | 4 |
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% |
1807
336.1 IPS |
|
|
Image Classification (HP)
|
100% |
1792
333.3 IPS |
|
|
Image Classification (Q)
|
96% |
1986
370.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3817
61.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4228
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4076
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13135
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14975
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14598
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2339
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (Q)
|
92% |
2407
192.1 IPS |
|
|
Face Detection (SP)
|
100% |
6730
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
9296
110.5 IPS |
|
|
Face Detection (Q)
|
100% |
7464
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11387
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12843
98.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11282
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27108
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32951
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32467
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5562
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5180
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5618
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
10.1 IPS |
|
|
Machine Translation (HP)
|
0% |
0
11.2 IPS |
|
|
Machine Translation (Q)
|
0% |
0
9.93 IPS |
