ASUS System Product Name
Geekbench ML Score
2860
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 07 2024 01:38 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-A GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 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% |
1507
282.0 IPS |
|
|
Image Classification (F16)
|
100% |
1517
283.9 IPS |
|
|
Image Classification (I8)
|
97% |
3463
648.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1280
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1921
32.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6468
7.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
4199
5.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
11803
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1504
112.3 IPS |
|
|
Object Detection (F16)
|
100% |
1469
109.7 IPS |
|
|
Object Detection (I8)
|
60% |
1524
113.8 IPS |
|
|
Face Detection (F32)
|
100% |
3042
36.2 IPS |
|
|
Face Detection (F16)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (I8)
|
87% |
4497
53.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5476
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5406
41.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
10745
83.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11523
15.2 IPS |
|
|
Style Transfer (F16)
|
100% |
11478
15.1 IPS |
|
|
Style Transfer (I8)
|
85% |
20029
26.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2089
74.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2098
74.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2876
102.7 IPS |
|
|
Text Classification (F32)
|
100% |
1521
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1521
2.19 KIPS |
|
|
Text Classification (I8)
|
94% |
371
533.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1965
36.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1792
33.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2289
42.1 IPS |
