ASUS System Product Name
Geekbench ML Score
3148
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-F GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 256 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1902
355.9 IPS |
|
|
Image Classification (F16)
|
100% |
1872
350.3 IPS |
|
|
Image Classification (I8)
|
97% |
2701
505.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1466
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1481
24.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1873
31.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6942
8.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
6927
8.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
11523
14.0 IPS |
|
|
Object Detection (F32)
|
100% |
1680
125.4 IPS |
|
|
Object Detection (F16)
|
100% |
1731
129.2 IPS |
|
|
Object Detection (I8)
|
60% |
1518
113.4 IPS |
|
|
Face Detection (F32)
|
100% |
2428
28.9 IPS |
|
|
Face Detection (F16)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (I8)
|
87% |
3599
42.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7056
54.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7156
55.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
10090
78.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16069
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
16012
21.1 IPS |
|
|
Style Transfer (I8)
|
85% |
15023
19.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2993
106.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2949
105.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3253
116.2 IPS |
|
|
Text Classification (F32)
|
100% |
1571
2.26 KIPS |
|
|
Text Classification (F16)
|
100% |
1570
2.26 KIPS |
|
|
Text Classification (I8)
|
94% |
403
579.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1987
36.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1901
35.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2049
37.7 IPS |
