iPhone 15 Pro
Geekbench AI Score
1826
Single Precision Score
3034
Half Precision Score
2465
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 10:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
778
144.7 IPS |
|
|
Image Classification (HP)
|
100% |
1187
220.8 IPS |
|
|
Image Classification (Q)
|
96% |
829
154.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1314
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3707
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
7082
8.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
6352
7.45 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
97% |
1444
115.0 IPS |
|
|
Object Detection (Q)
|
94% |
1044
83.3 IPS |
|
|
Face Detection (SP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1698
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3148
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5910
45.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4149
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9306
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13932
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11881
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2295
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2615
96.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1871
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2394
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3040
52.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3070
53.0 IPS |
