iPhone 15 Pro
Geekbench AI Score
5024
Single Precision Score
6031
Half Precision Score
5645
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 03:02 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% |
1842
342.5 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3742
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4173
67.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4044
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13127
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14927
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14615
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (Q)
|
92% |
2402
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
6648
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
9253
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
7404
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11400
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12520
96.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11220
87.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27321
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33122
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32353
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5933
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5207
192.3 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5613
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1456
25.2 IPS |
