iPhone 15 Pro
Geekbench AI Score
3907
Single Precision Score
6828
Half Precision Score
5555
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ymmij |
| Upload Date | December 12 2024 08:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.9 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7952
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
16108
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14082
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
97% |
3345
266.3 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6782
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3843
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6844
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13299
102.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9085
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20674
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31680
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26861
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4808
177.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4326
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6116
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6114
105.7 IPS |
