iPhone 15 Pro
Geekbench AI Score
3865
Single Precision Score
6817
Half Precision Score
5562
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | January 31 2025 02:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1692
314.7 IPS |
|
|
Image Classification (HP)
|
100% |
2935
545.8 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3077
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7666
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
16023
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14046
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (HP)
|
97% |
3315
263.9 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3847
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6837
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13187
101.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9240
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20780
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32357
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27273
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5905
218.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4257
157.2 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5657
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5636
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5983
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5940
102.6 IPS |
