ASUS System Product Name
Geekbench ML Score
18194
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 12:39 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8610
1.61 KIPS |
|
|
Image Classification (F16)
|
100% |
8906
1.67 KIPS |
|
|
Image Classification (I8)
|
100% |
5745
1.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14611
244.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
14571
243.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
10655
177.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
163139
197.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
163381
197.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
118913
144.0 IPS |
|
|
Object Detection (F32)
|
100% |
6734
502.7 IPS |
|
|
Object Detection (F16)
|
100% |
6841
510.7 IPS |
|
|
Object Detection (I8)
|
56% |
5225
390.0 IPS |
|
|
Face Detection (F32)
|
100% |
29331
348.8 IPS |
|
|
Face Detection (F16)
|
100% |
31224
371.3 IPS |
|
|
Face Detection (I8)
|
89% |
19794
235.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
56261
436.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
51928
402.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
31718
246.0 IPS |
|
|
Style Transfer (F32)
|
100% |
266276
350.3 IPS |
|
|
Style Transfer (F16)
|
100% |
246349
324.1 IPS |
|
|
Style Transfer (I8)
|
98% |
171322
225.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
36035
1.29 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
35079
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
20103
718.0 IPS |
|
|
Text Classification (F32)
|
100% |
2335
3.36 KIPS |
|
|
Text Classification (F16)
|
100% |
2343
3.37 KIPS |
|
|
Text Classification (I8)
|
98% |
1191
1.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
4057
74.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3902
71.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1667
30.7 IPS |
