iPhone 15 Pro
Geekbench AI Score
5049
Single Precision Score
5965
Half Precision Score
5716
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:33 AM |
| Views | 8 |
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% |
1922
357.5 IPS |
|
|
Image Classification (HP)
|
100% |
1845
343.2 IPS |
|
|
Image Classification (Q)
|
96% |
1982
370.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3775
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4266
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4096
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13202
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15083
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14564
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2314
183.5 IPS |
|
|
Object Detection (HP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (Q)
|
92% |
2537
202.5 IPS |
|
|
Face Detection (SP)
|
100% |
6469
76.9 IPS |
|
|
Face Detection (HP)
|
100% |
8991
106.8 IPS |
|
|
Face Detection (Q)
|
100% |
7121
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10960
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12365
95.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11494
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27205
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32794
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32475
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6193
228.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5698
210.4 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1408
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1490
25.7 IPS |
