ASUS System Product Name
Geekbench ML Score
2884
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 07 2024 01:45 PM |
| Views | 2 |
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% |
1615
302.2 IPS |
|
|
Image Classification (F16)
|
100% |
1516
283.7 IPS |
|
|
Image Classification (I8)
|
97% |
3434
642.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1142
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1257
21.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1895
31.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4152
5.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
4232
5.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
11950
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1464
109.3 IPS |
|
|
Object Detection (F16)
|
100% |
1468
109.6 IPS |
|
|
Object Detection (I8)
|
60% |
1509
112.7 IPS |
|
|
Face Detection (F32)
|
100% |
3278
39.0 IPS |
|
|
Face Detection (F16)
|
100% |
3074
36.6 IPS |
|
|
Face Detection (I8)
|
87% |
4510
53.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5449
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5430
42.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
10800
83.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16516
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
11226
14.8 IPS |
|
|
Style Transfer (I8)
|
85% |
19224
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2094
74.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2092
74.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2860
102.1 IPS |
|
|
Text Classification (F32)
|
100% |
1522
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1523
2.19 KIPS |
|
|
Text Classification (I8)
|
94% |
348
500.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1790
32.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1864
34.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2337
43.0 IPS |
