iPhone 12
Geekbench ML Score
3921
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 06:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
406
76.0 IPS |
|
|
Image Classification (F16)
|
100% |
4435
829.9 IPS |
|
|
Image Classification (I8)
|
99% |
4806
899.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
328
5.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
2513
42.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2534
42.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5867
7.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
58217
70.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
63070
76.4 IPS |
|
|
Object Detection (F32)
|
100% |
613
45.7 IPS |
|
|
Object Detection (F16)
|
100% |
3805
284.1 IPS |
|
|
Object Detection (I8)
|
97% |
567
42.3 IPS |
|
|
Face Detection (F32)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (F16)
|
97% |
9444
112.3 IPS |
|
|
Face Detection (I8)
|
96% |
9284
110.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5215
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
32829
254.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
32098
248.9 IPS |
|
|
Style Transfer (F32)
|
100% |
11187
14.7 IPS |
|
|
Style Transfer (F16)
|
100% |
76390
100.5 IPS |
|
|
Style Transfer (I8)
|
100% |
72973
96.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1971
70.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11638
415.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11794
421.2 IPS |
|
|
Text Classification (F32)
|
100% |
285
409.9 IPS |
|
|
Text Classification (F16)
|
100% |
816
1.17 KIPS |
|
|
Text Classification (I8)
|
96% |
803
1.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
495
9.11 IPS |
|
|
Machine Translation (F16)
|
100% |
1027
18.9 IPS |
|
|
Machine Translation (I8)
|
99% |
494
9.08 IPS |
