ASUS System Product Name
Geekbench ML Score
3537
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | cordyceps |
| Upload Date | April 26 2025 06:10 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII HERO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10850K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 10 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 256 KB x 10 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1963
367.4 IPS |
|
|
Image Classification (F16)
|
100% |
1982
370.9 IPS |
|
|
Image Classification (I8)
|
97% |
3019
564.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1589
26.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1601
26.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
2371
39.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8056
9.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
7907
9.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
14593
17.7 IPS |
|
|
Object Detection (F32)
|
100% |
1821
135.9 IPS |
|
|
Object Detection (F16)
|
100% |
1846
137.9 IPS |
|
|
Object Detection (I8)
|
60% |
1703
127.1 IPS |
|
|
Face Detection (F32)
|
100% |
2346
27.9 IPS |
|
|
Face Detection (F16)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (I8)
|
87% |
3677
43.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7655
59.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7625
59.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
10908
84.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18597
24.5 IPS |
|
|
Style Transfer (F16)
|
100% |
18396
24.2 IPS |
|
|
Style Transfer (I8)
|
85% |
15814
20.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3421
122.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3366
120.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3511
125.4 IPS |
|
|
Text Classification (F32)
|
100% |
1552
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
1556
2.24 KIPS |
|
|
Text Classification (I8)
|
94% |
1089
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
2011
37.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2004
36.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2602
47.9 IPS |
