ASUS System Product Name
Geekbench ML Score
3027
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 01:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII FORMULA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1399
261.8 IPS |
|
|
Image Classification (F16)
|
100% |
1386
259.4 IPS |
|
|
Image Classification (I8)
|
97% |
2897
542.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1612
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1611
26.9 IPS |
|
|
Image Segmentation (I8)
|
97% |
2179
36.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7118
8.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
6879
8.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
19527
23.6 IPS |
|
|
Object Detection (F32)
|
100% |
1407
105.1 IPS |
|
|
Object Detection (F16)
|
100% |
1420
106.0 IPS |
|
|
Object Detection (I8)
|
60% |
1290
96.3 IPS |
|
|
Face Detection (F32)
|
100% |
2697
32.1 IPS |
|
|
Face Detection (F16)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (I8)
|
87% |
3890
46.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6472
50.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6230
48.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
12704
98.5 IPS |
|
|
Style Transfer (F32)
|
100% |
15586
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
15860
20.9 IPS |
|
|
Style Transfer (I8)
|
85% |
19900
26.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2256
80.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2294
81.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3035
108.4 IPS |
|
|
Text Classification (F32)
|
100% |
1118
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1120
1.61 KIPS |
|
|
Text Classification (I8)
|
94% |
331
475.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1808
33.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1836
33.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2215
40.8 IPS |
