iPhone 15 Pro
Geekbench AI Score
3861
Single Precision Score
6782
Half Precision Score
5526
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 08:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1685
313.3 IPS |
|
|
Image Classification (HP)
|
100% |
2901
539.5 IPS |
|
|
Image Classification (Q)
|
96% |
2035
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3050
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7616
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
15559
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13600
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (HP)
|
97% |
3343
266.1 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6669
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3789
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6826
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13158
101.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9159
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20342
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32270
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26736
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4666
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5935
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4366
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6099
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6082
105.1 IPS |
