iPhone 15 Pro
Geekbench AI Score
4977
Single Precision Score
5867
Half Precision Score
4459
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Destructico |
| Upload Date | August 15 2024 07:12 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1906
354.5 IPS |
|
|
Image Classification (HP)
|
100% |
1867
347.3 IPS |
|
|
Image Classification (Q)
|
99% |
2100
391.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3093
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3898
63.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3955
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14862
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15712
18.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
14403
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
2968
235.4 IPS |
|
|
Object Detection (Q)
|
91% |
2390
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
6586
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
9253
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
6630
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12102
93.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13326
102.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
1839
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28617
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33559
43.1 IPS |
|
|
Style Transfer (Q)
|
100% |
33692
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6555
242.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6562
242.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5178
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
935
16.2 IPS |
