iPhone 15 Pro
Geekbench AI Score
5083
Single Precision Score
6063
Half Precision Score
5680
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 01:32 AM |
| Views | 6 |
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% |
1898
352.9 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (Q)
|
96% |
2104
392.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3764
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4251
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4111
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13180
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15153
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14693
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
2661
211.0 IPS |
|
|
Object Detection (Q)
|
92% |
2451
195.7 IPS |
|
|
Face Detection (SP)
|
100% |
6609
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
9328
110.8 IPS |
|
|
Face Detection (Q)
|
100% |
7370
87.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11465
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12908
99.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11247
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27494
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32947
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32607
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5622
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6188
228.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5052
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5630
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5510
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1493
25.8 IPS |
