ASUS System Product Name
Geekbench ML Score
4277
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 17 2025 09:28 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-E GAMING |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2310
432.3 IPS |
|
|
Image Classification (F16)
|
100% |
2294
429.3 IPS |
|
|
Image Classification (I8)
|
97% |
3897
729.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1906
31.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2201
36.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
2665
44.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6932
8.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
6985
8.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
13044
15.8 IPS |
|
|
Object Detection (F32)
|
100% |
2286
170.7 IPS |
|
|
Object Detection (F16)
|
100% |
2304
172.0 IPS |
|
|
Object Detection (I8)
|
60% |
2097
156.5 IPS |
|
|
Face Detection (F32)
|
100% |
5886
70.0 IPS |
|
|
Face Detection (F16)
|
100% |
5975
71.0 IPS |
|
|
Face Detection (I8)
|
87% |
5755
68.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8511
66.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8458
65.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
13539
105.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17263
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
17036
22.4 IPS |
|
|
Style Transfer (I8)
|
85% |
16603
21.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3428
122.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3427
122.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3886
138.8 IPS |
|
|
Text Classification (F32)
|
100% |
1933
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1953
2.81 KIPS |
|
|
Text Classification (I8)
|
94% |
1264
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
2835
52.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2856
52.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3156
58.1 IPS |
