iPhone 12
Geekbench AI Score
2838
Single Precision Score
11115
Half Precision Score
11123
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1256
233.5 IPS |
|
|
Image Classification (HP)
|
100% |
4697
873.5 IPS |
|
|
Image Classification (Q)
|
96% |
4378
817.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5619
91.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6180
100.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5824
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
60406
70.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
60807
71.3 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
99% |
5836
464.3 IPS |
|
|
Object Detection (Q)
|
91% |
5036
402.4 IPS |
|
|
Face Detection (SP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
14181
168.5 IPS |
|
|
Face Detection (Q)
|
100% |
11807
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5039
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
38068
293.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
36169
282.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14780
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95799
123.2 IPS |
|
|
Style Transfer (Q)
|
96% |
95640
123.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3257
120.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16629
614.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17858
659.4 IPS |
|
|
Text Classification (SP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2374
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2022
34.9 IPS |
