ASUS System Product Name
Geekbench ML Score
5697
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 10 2024 11:22 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2272
425.1 IPS |
|
|
Image Classification (F16)
|
100% |
2279
426.5 IPS |
|
|
Image Classification (I8)
|
99% |
5913
1.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2205
36.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2140
35.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3185
53.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
22121
26.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
15761
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
57210
69.3 IPS |
|
|
Object Detection (F32)
|
100% |
2578
192.4 IPS |
|
|
Object Detection (F16)
|
100% |
2458
183.5 IPS |
|
|
Object Detection (I8)
|
62% |
2779
207.4 IPS |
|
|
Face Detection (F32)
|
100% |
4158
49.4 IPS |
|
|
Face Detection (F16)
|
100% |
4169
49.6 IPS |
|
|
Face Detection (I8)
|
89% |
6424
76.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
11683
90.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
12772
99.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
26192
203.1 IPS |
|
|
Style Transfer (F32)
|
100% |
27792
36.6 IPS |
|
|
Style Transfer (F16)
|
100% |
33180
43.6 IPS |
|
|
Style Transfer (I8)
|
98% |
40256
53.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4036
144.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5316
189.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7394
264.1 IPS |
|
|
Text Classification (F32)
|
100% |
2166
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1833
2.63 KIPS |
|
|
Text Classification (I8)
|
98% |
533
765.3 IPS |
|
|
Machine Translation (F32)
|
100% |
3591
66.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3701
68.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4016
73.9 IPS |
