iPhone 15 Pro
Geekbench AI Score
3985
Single Precision Score
6888
Half Precision Score
5634
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | seancuttlefish |
| Upload Date | March 04 2025 05:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1719
319.6 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3098
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8166
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
16604
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14422
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
97% |
3371
268.4 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6834
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3906
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6940
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13549
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9304
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21165
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32525
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27465
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4937
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5862
216.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4426
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5623
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6117
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6096
105.3 IPS |
