iPhone 12
Geekbench ML Score
1496
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 22 2023 12:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
759
142.1 IPS |
|
|
Image Classification (F16)
|
100% |
794
148.6 IPS |
|
|
Image Classification (I8)
|
99% |
792
148.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
360
6.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
341
5.69 IPS |
|
|
Image Segmentation (I8)
|
100% |
331
5.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
4258
5.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
8214
9.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
8108
9.82 IPS |
|
|
Object Detection (F32)
|
100% |
816
60.9 IPS |
|
|
Object Detection (F16)
|
100% |
873
65.2 IPS |
|
|
Object Detection (I8)
|
97% |
819
61.2 IPS |
|
|
Face Detection (F32)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (F16)
|
100% |
1319
15.7 IPS |
|
|
Face Detection (I8)
|
99% |
1332
15.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2980
23.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3294
25.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3243
25.1 IPS |
|
|
Style Transfer (F32)
|
100% |
8389
11.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10373
13.6 IPS |
|
|
Style Transfer (I8)
|
100% |
10606
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2290
81.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2349
83.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2319
82.8 IPS |
|
|
Text Classification (F32)
|
100% |
818
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
553
795.1 IPS |
|
|
Text Classification (I8)
|
96% |
521
748.6 IPS |
|
|
Machine Translation (F32)
|
100% |
619
11.4 IPS |
|
|
Machine Translation (F16)
|
99% |
729
13.4 IPS |
|
|
Machine Translation (I8)
|
99% |
581
10.7 IPS |
