ASUS System Product Name
Geekbench ML Score
4342
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 07:57 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| 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% |
2278
426.2 IPS |
|
|
Image Classification (F16)
|
100% |
2198
411.4 IPS |
|
|
Image Classification (I8)
|
99% |
5442
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1942
32.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2076
34.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2488
41.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6848
8.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
5458
6.61 IPS |
|
|
Pose Estimation (I8)
|
100% |
25591
31.0 IPS |
|
|
Object Detection (F32)
|
100% |
2476
184.8 IPS |
|
|
Object Detection (F16)
|
100% |
1942
145.0 IPS |
|
|
Object Detection (I8)
|
62% |
1901
141.9 IPS |
|
|
Face Detection (F32)
|
100% |
5451
64.8 IPS |
|
|
Face Detection (F16)
|
100% |
6376
75.8 IPS |
|
|
Face Detection (I8)
|
89% |
6873
81.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8415
65.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8866
68.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
19708
152.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17565
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
17332
22.8 IPS |
|
|
Style Transfer (I8)
|
98% |
30845
40.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2581
92.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2926
104.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4535
162.0 IPS |
|
|
Text Classification (F32)
|
100% |
2133
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
2157
3.10 KIPS |
|
|
Text Classification (I8)
|
98% |
376
540.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2969
54.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2843
52.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3443
63.4 IPS |
