iPhone 15 Pro
Geekbench AI Score
3135
Single Precision Score
4586
Half Precision Score
3832
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | edsinsi |
| Upload Date | August 16 2024 09:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
996
185.3 IPS |
|
|
Image Classification (HP)
|
100% |
1054
196.0 IPS |
|
|
Image Classification (Q)
|
99% |
1000
186.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
509
8.26 IPS |
|
|
Image Segmentation (Q)
|
100% |
681
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6285
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
14462
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12525
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
97% |
2534
201.7 IPS |
|
|
Object Detection (Q)
|
94% |
1899
151.4 IPS |
|
|
Face Detection (SP)
|
100% |
2874
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
4869
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
3075
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6074
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9520
73.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4822
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19454
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30479
39.2 IPS |
|
|
Style Transfer (Q)
|
100% |
30431
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4627
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6190
228.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4395
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5286
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4688
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4530
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4545
78.5 IPS |
