iPhone 15 Pro
Geekbench AI Score
3920
Single Precision Score
6795
Half Precision Score
5555
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 05:43 AM |
| Views | 1 |
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% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3091
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7880
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
16015
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13991
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
97% |
3337
265.7 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6837
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3841
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6905
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13367
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9120
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20736
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31878
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27007
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5770
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4329
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6046
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6093
105.3 IPS |
