ASUS System Product Name
Geekbench ML Score
1766
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:37 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H610M-E D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
927
173.4 IPS |
|
|
Image Classification (F16)
|
100% |
918
171.7 IPS |
|
|
Image Classification (I8)
|
99% |
2017
377.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
805
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
762
12.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1305
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1986
2.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
2170
2.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
9696
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
916
68.4 IPS |
|
|
Object Detection (F16)
|
100% |
881
65.8 IPS |
|
|
Object Detection (I8)
|
62% |
1130
84.4 IPS |
|
|
Face Detection (F32)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (F16)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (I8)
|
89% |
2384
28.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2484
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2804
21.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
6441
50.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5959
7.84 IPS |
|
|
Style Transfer (F16)
|
100% |
5425
7.14 IPS |
|
|
Style Transfer (I8)
|
98% |
8841
11.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1365
48.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1208
43.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3032
108.3 IPS |
|
|
Text Classification (F32)
|
100% |
1071
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1367
1.97 KIPS |
|
|
Text Classification (I8)
|
98% |
383
550.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1182
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1200
22.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1800
33.1 IPS |
