ASUS System Product Name
Geekbench ML Score
4854
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 01 2024 07:11 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670E-PRO WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 32.0 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% |
2409
450.9 IPS |
|
|
Image Classification (F16)
|
100% |
3305
618.4 IPS |
|
|
Image Classification (I8)
|
99% |
7465
1.40 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2134
35.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2057
34.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2385
39.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6602
8.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
6747
8.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
32782
39.7 IPS |
|
|
Object Detection (F32)
|
100% |
2244
167.5 IPS |
|
|
Object Detection (F16)
|
100% |
2237
167.0 IPS |
|
|
Object Detection (I8)
|
62% |
2616
195.3 IPS |
|
|
Face Detection (F32)
|
100% |
4114
48.9 IPS |
|
|
Face Detection (F16)
|
100% |
4140
49.2 IPS |
|
|
Face Detection (I8)
|
89% |
6301
74.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12331
95.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7837
60.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
22685
175.9 IPS |
|
|
Style Transfer (F32)
|
100% |
26179
34.4 IPS |
|
|
Style Transfer (F16)
|
100% |
16736
22.0 IPS |
|
|
Style Transfer (I8)
|
98% |
32105
42.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3433
122.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3386
120.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6197
221.3 IPS |
|
|
Text Classification (F32)
|
100% |
2375
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
2332
3.35 KIPS |
|
|
Text Classification (I8)
|
98% |
490
704.7 IPS |
|
|
Machine Translation (F32)
|
100% |
3551
65.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3290
60.5 IPS |
|
|
Machine Translation (I8)
|
67% |
4249
78.2 IPS |
