iPhone 15 Pro
Geekbench AI Score
3726
Single Precision Score
5478
Half Precision Score
4565
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Moklonus |
| Upload Date | August 18 2024 04:10 PM |
| Views | 21 |
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% |
1745
324.6 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.1 IPS |
|
|
Image Classification (Q)
|
99% |
2194
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1336
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7797
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
16302
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13904
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1771
140.4 IPS |
|
|
Object Detection (HP)
|
97% |
2607
207.5 IPS |
|
|
Object Detection (Q)
|
94% |
1993
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
4934
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
3157
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6208
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9676
74.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4977
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20165
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30455
39.1 IPS |
|
|
Style Transfer (Q)
|
100% |
30266
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4684
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4330
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5164
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4551
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4554
78.7 IPS |
