iPhone 15 Pro
Geekbench AI Score
3268
Single Precision Score
3927
Half Precision Score
3806
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:37 PM |
| Views | 1 |
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% |
843
156.8 IPS |
|
|
Image Classification (HP)
|
100% |
862
160.3 IPS |
|
|
Image Classification (Q)
|
96% |
1246
232.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3006
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3580
58.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7154
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
8672
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
8144
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (Q)
|
92% |
1407
112.3 IPS |
|
|
Face Detection (SP)
|
100% |
5503
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
7046
83.7 IPS |
|
|
Face Detection (Q)
|
100% |
5136
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7594
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8306
64.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
7420
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19552
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30515
39.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30177
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3544
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (HP)
|
99% |
2597
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
2586
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
