ASUS System Product Name
Geekbench ML Score
5388
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 12:45 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2669
499.4 IPS |
|
|
Image Classification (F16)
|
100% |
2703
505.9 IPS |
|
|
Image Classification (I8)
|
99% |
5674
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2382
39.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2408
40.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3676
61.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8222
9.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
8216
9.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
27950
33.8 IPS |
|
|
Object Detection (F32)
|
100% |
2765
206.4 IPS |
|
|
Object Detection (F16)
|
100% |
2782
207.7 IPS |
|
|
Object Detection (I8)
|
62% |
2653
198.0 IPS |
|
|
Face Detection (F32)
|
100% |
6794
80.8 IPS |
|
|
Face Detection (F16)
|
100% |
6796
80.8 IPS |
|
|
Face Detection (I8)
|
89% |
7620
90.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9789
75.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9787
75.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
21743
168.6 IPS |
|
|
Style Transfer (F32)
|
100% |
19619
25.8 IPS |
|
|
Style Transfer (F16)
|
100% |
18488
24.3 IPS |
|
|
Style Transfer (I8)
|
98% |
33191
43.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4065
145.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4066
145.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5260
187.8 IPS |
|
|
Text Classification (F32)
|
100% |
2270
3.26 KIPS |
|
|
Text Classification (F16)
|
100% |
2268
3.26 KIPS |
|
|
Text Classification (I8)
|
98% |
1492
2.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
3257
59.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3154
58.0 IPS |
|
|
Machine Translation (I8)
|
67% |
4357
80.2 IPS |
