ASUS System Product Name
Geekbench ML Score
4675
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 08:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| 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 | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2363
442.1 IPS |
|
|
Image Classification (F16)
|
100% |
2209
413.4 IPS |
|
|
Image Classification (I8)
|
99% |
5450
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2179
36.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1839
30.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3449
57.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7910
9.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
7155
8.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
23013
27.9 IPS |
|
|
Object Detection (F32)
|
100% |
2011
150.1 IPS |
|
|
Object Detection (F16)
|
100% |
2023
151.1 IPS |
|
|
Object Detection (I8)
|
62% |
2418
180.5 IPS |
|
|
Face Detection (F32)
|
100% |
4999
59.4 IPS |
|
|
Face Detection (F16)
|
100% |
4939
58.7 IPS |
|
|
Face Detection (I8)
|
89% |
6077
72.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
9759
75.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8910
69.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
20227
156.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17647
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16420
21.6 IPS |
|
|
Style Transfer (I8)
|
98% |
27795
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3891
138.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3109
111.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4454
159.1 IPS |
|
|
Text Classification (F32)
|
100% |
2124
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
2147
3.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1572
2.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
2861
52.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2802
51.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3745
68.9 IPS |
