iPhone 15 Pro
Geekbench AI Score
3669
Single Precision Score
5440
Half Precision Score
4526
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | marlody |
| Upload Date | August 16 2024 01:09 PM |
| Views | 10 |
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% |
1741
323.9 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.5 IPS |
|
|
Image Classification (Q)
|
99% |
2219
413.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1331
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7478
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
15828
18.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13548
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
|
Object Detection (HP)
|
97% |
2561
203.9 IPS |
|
|
Object Detection (Q)
|
94% |
1980
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
4889
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
3109
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6183
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9514
73.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4836
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19594
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30092
38.7 IPS |
|
|
Style Transfer (Q)
|
100% |
29948
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4506
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5673
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4294
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3113
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5188
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4559
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4544
78.5 IPS |
