iPhone 12 Pro
Geekbench AI Score
2731
Single Precision Score
4565
Half Precision Score
3817
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.5 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2198
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5420
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
10811
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9571
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.4 IPS |
|
|
Object Detection (HP)
|
97% |
2210
175.9 IPS |
|
|
Object Detection (Q)
|
94% |
1593
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (Q)
|
100% |
2725
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4846
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9555
73.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6637
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13310
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21670
27.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18856
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2855
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3063
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3662
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3345
57.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3779
65.3 IPS |
