iPhone 15 Pro
Geekbench AI Score
3623
Single Precision Score
5413
Half Precision Score
4508
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Jakeky |
| Upload Date | August 18 2024 03:40 PM |
| Views | 6 |
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% |
1705
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
2183
405.9 IPS |
|
|
Image Classification (Q)
|
99% |
2189
408.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1344
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7475
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
15640
18.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13411
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1701
135.0 IPS |
|
|
Object Detection (HP)
|
97% |
2548
202.8 IPS |
|
|
Object Detection (Q)
|
94% |
1961
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4884
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
3101
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5973
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9468
73.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4859
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19485
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29888
38.4 IPS |
|
|
Style Transfer (Q)
|
100% |
29785
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4472
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4293
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5180
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5152
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4512
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4519
78.1 IPS |
