ASUS System Product Name
Geekbench ML Score
4985
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 30 2024 04:31 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 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 | 96.0 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% |
2538
474.9 IPS |
|
|
Image Classification (F16)
|
100% |
2532
473.8 IPS |
|
|
Image Classification (I8)
|
99% |
5811
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2364
39.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2439
40.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2750
45.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8285
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
8299
10.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
26624
32.2 IPS |
|
|
Object Detection (F32)
|
100% |
2567
191.7 IPS |
|
|
Object Detection (F16)
|
100% |
2569
191.8 IPS |
|
|
Object Detection (I8)
|
62% |
2675
199.7 IPS |
|
|
Face Detection (F32)
|
100% |
6521
77.5 IPS |
|
|
Face Detection (F16)
|
100% |
6580
78.2 IPS |
|
|
Face Detection (I8)
|
89% |
7648
90.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
9921
76.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9951
77.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
22812
176.9 IPS |
|
|
Style Transfer (F32)
|
100% |
19432
25.6 IPS |
|
|
Style Transfer (F16)
|
100% |
20216
26.6 IPS |
|
|
Style Transfer (I8)
|
98% |
30883
40.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3180
113.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3862
137.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4865
173.7 IPS |
|
|
Text Classification (F32)
|
100% |
2220
3.19 KIPS |
|
|
Text Classification (F16)
|
100% |
2195
3.15 KIPS |
|
|
Text Classification (I8)
|
98% |
410
589.3 IPS |
|
|
Machine Translation (F32)
|
100% |
3326
61.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3283
60.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3826
70.4 IPS |
