iPhone 15 Pro
Geekbench AI Score
3985
Single Precision Score
6999
Half Precision Score
5722
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 11:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1710
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.7 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3027
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8315
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
16766
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14580
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
97% |
3350
266.7 IPS |
|
|
Object Detection (Q)
|
94% |
2375
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6822
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3824
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6943
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13019
100.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9020
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21420
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34406
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28290
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4955
183.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5740
211.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4446
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5788
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7017
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7034
121.6 IPS |
