ASUS System Product Name
Geekbench ML Score
21017
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 07 2024 09:07 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-R |
| Power Plan | Yksek performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10455
1.96 KIPS |
|
|
Image Classification (F16)
|
100% |
10350
1.94 KIPS |
|
|
Image Classification (I8)
|
100% |
8727
1.63 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14851
248.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
14290
238.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
12329
205.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
172778
209.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
172334
208.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
145496
176.2 IPS |
|
|
Object Detection (F32)
|
100% |
6193
462.4 IPS |
|
|
Object Detection (F16)
|
100% |
6296
470.0 IPS |
|
|
Object Detection (I8)
|
56% |
5709
426.2 IPS |
|
|
Face Detection (F32)
|
100% |
33429
397.5 IPS |
|
|
Face Detection (F16)
|
100% |
32812
390.1 IPS |
|
|
Face Detection (I8)
|
89% |
27837
331.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
57096
442.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
56957
441.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
45961
356.4 IPS |
|
|
Style Transfer (F32)
|
100% |
273129
359.3 IPS |
|
|
Style Transfer (F16)
|
100% |
276849
364.2 IPS |
|
|
Style Transfer (I8)
|
98% |
232215
305.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31667
1.13 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32555
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24601
878.6 IPS |
|
|
Text Classification (F32)
|
100% |
3125
4.49 KIPS |
|
|
Text Classification (F16)
|
100% |
3177
4.57 KIPS |
|
|
Text Classification (I8)
|
98% |
2049
2.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
4333
79.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4323
79.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2579
47.5 IPS |
