iPhone 12
Geekbench AI Score
2699
Single Precision Score
4612
Half Precision Score
3832
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1275
237.0 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.6 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2159
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5306
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
10833
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9594
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1280
101.5 IPS |
|
|
Object Detection (HP)
|
97% |
2178
173.4 IPS |
|
|
Object Detection (Q)
|
94% |
1589
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (Q)
|
100% |
2655
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4676
36.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9017
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6415
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13069
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22177
28.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19015
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4091
151.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3159
116.6 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3668
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2304
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4065
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4060
70.2 IPS |
