iPhone 12
Geekbench AI Score
2307
Single Precision Score
3622
Half Precision Score
2993
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 07:30 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1095
203.7 IPS |
|
|
Image Classification (HP)
|
100% |
1466
272.6 IPS |
|
|
Image Classification (Q)
|
99% |
1461
272.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1003
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4890
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
10198
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
8938
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1154
91.5 IPS |
|
|
Object Detection (HP)
|
97% |
1673
133.2 IPS |
|
|
Object Detection (Q)
|
94% |
1311
104.5 IPS |
|
|
Face Detection (SP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
2120
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4185
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6797
52.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
3211
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11986
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19858
25.5 IPS |
|
|
Style Transfer (Q)
|
100% |
19806
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2520
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2885
106.9 IPS |
|
|
Text Classification (SP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3352
4.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3311
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2625
45.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2616
45.2 IPS |
