iPhone 15 Pro
Geekbench AI Score
5108
Single Precision Score
5989
Half Precision Score
5574
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 09:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3750
60.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4311
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4135
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13682
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15056
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14650
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
2760
218.9 IPS |
|
|
Object Detection (Q)
|
92% |
2468
197.0 IPS |
|
|
Face Detection (SP)
|
100% |
6312
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
8564
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
7061
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11176
86.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12147
93.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11533
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28128
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32460
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32096
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5888
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5596
206.6 IPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5786
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5751
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1402
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1458
25.2 IPS |
