ASUS System Product Name
Geekbench ML Score
7092
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 12:14 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 CROSSHAIR X870E HERO |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3252
608.5 IPS |
|
|
Image Classification (F16)
|
100% |
2973
556.3 IPS |
|
|
Image Classification (I8)
|
99% |
8528
1.60 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2706
45.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2625
43.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3967
66.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
11214
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
16995
20.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
55532
67.2 IPS |
|
|
Object Detection (F32)
|
100% |
3487
260.3 IPS |
|
|
Object Detection (F16)
|
100% |
2857
213.3 IPS |
|
|
Object Detection (I8)
|
62% |
3317
247.6 IPS |
|
|
Face Detection (F32)
|
100% |
9830
116.9 IPS |
|
|
Face Detection (F16)
|
100% |
9250
110.0 IPS |
|
|
Face Detection (I8)
|
89% |
8940
106.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15653
121.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
12586
97.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
32642
253.1 IPS |
|
|
Style Transfer (F32)
|
100% |
29457
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
34022
44.8 IPS |
|
|
Style Transfer (I8)
|
98% |
43974
57.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4199
149.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6350
226.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6700
239.3 IPS |
|
|
Text Classification (F32)
|
100% |
2691
3.87 KIPS |
|
|
Text Classification (F16)
|
100% |
2432
3.49 KIPS |
|
|
Text Classification (I8)
|
98% |
1634
2.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
4187
77.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4184
77.0 IPS |
|
|
Machine Translation (I8)
|
67% |
5338
98.2 IPS |
