ASUS System Product Name
Geekbench ML Score
7822
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 06:27 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 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% |
4322
808.8 IPS |
|
|
Image Classification (F16)
|
100% |
4323
809.0 IPS |
|
|
Image Classification (I8)
|
99% |
8708
1.63 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3227
53.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3098
51.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3234
54.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
17256
20.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
17508
21.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
55750
67.5 IPS |
|
|
Object Detection (F32)
|
100% |
4335
323.6 IPS |
|
|
Object Detection (F16)
|
100% |
4308
321.6 IPS |
|
|
Object Detection (I8)
|
62% |
4023
300.4 IPS |
|
|
Face Detection (F32)
|
100% |
10509
125.0 IPS |
|
|
Face Detection (F16)
|
100% |
10430
124.0 IPS |
|
|
Face Detection (I8)
|
89% |
9343
111.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
18116
140.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
18077
140.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
38384
297.7 IPS |
|
|
Style Transfer (F32)
|
100% |
36459
48.0 IPS |
|
|
Style Transfer (F16)
|
100% |
36795
48.4 IPS |
|
|
Style Transfer (I8)
|
98% |
41495
54.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5658
202.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5402
192.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6385
228.0 IPS |
|
|
Text Classification (F32)
|
100% |
3220
4.63 KIPS |
|
|
Text Classification (F16)
|
100% |
3198
4.60 KIPS |
|
|
Text Classification (I8)
|
98% |
542
779.3 IPS |
|
|
Machine Translation (F32)
|
100% |
4994
91.9 IPS |
|
|
Machine Translation (F16)
|
100% |
5004
92.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4863
89.5 IPS |
