iPhone 15 Pro
Geekbench AI Score
5094
Single Precision Score
6175
Half Precision Score
5786
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1891
351.7 IPS |
|
|
Image Classification (HP)
|
100% |
2210
411.0 IPS |
|
|
Image Classification (Q)
|
96% |
2163
403.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3703
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4211
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4069
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13199
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15048
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14651
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2378
188.6 IPS |
|
|
Object Detection (HP)
|
100% |
2756
218.6 IPS |
|
|
Object Detection (Q)
|
92% |
2527
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
6717
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
8779
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
7186
85.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11223
86.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12350
95.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11470
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26800
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32822
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33144
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6371
235.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5624
207.7 IPS |
|
|
Text Classification (SP)
|
100% |
3353
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5972
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6113
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1376
23.8 IPS |
