iPhone 15 Pro
Geekbench AI Score
5016
Single Precision Score
5901
Half Precision Score
5428
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 06:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1901
353.6 IPS |
|
|
Image Classification (HP)
|
100% |
1903
353.8 IPS |
|
|
Image Classification (Q)
|
96% |
1483
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3797
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4238
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4089
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13134
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14992
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14557
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (Q)
|
92% |
2519
201.1 IPS |
|
|
Face Detection (SP)
|
100% |
6717
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
9232
109.7 IPS |
|
|
Face Detection (Q)
|
100% |
7287
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11384
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12728
98.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11360
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27350
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32507
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31870
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5622
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5706
210.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5197
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5221
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5204
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1401
24.2 IPS |
