iPhone 12 Pro
Geekbench AI Score
2415
Single Precision Score
3715
Half Precision Score
3096
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ddavidd |
| Upload Date | August 15 2024 08:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1164
216.4 IPS |
|
|
Image Classification (HP)
|
100% |
1481
275.5 IPS |
|
|
Image Classification (Q)
|
99% |
1472
274.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4780
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
10145
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
9055
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1195
94.8 IPS |
|
|
Object Detection (HP)
|
97% |
1728
137.6 IPS |
|
|
Object Detection (Q)
|
94% |
1345
107.2 IPS |
|
|
Face Detection (SP)
|
100% |
1931
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (Q)
|
100% |
2220
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4324
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7080
54.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
3647
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12333
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20223
26.0 IPS |
|
|
Style Transfer (Q)
|
100% |
20225
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2623
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4154
153.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3019
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (Q)
|
93% |
3309
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2740
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2701
46.7 IPS |
