ASUS System Product Name
Geekbench ML Score
12204
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 08:50 PM |
| 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 B550M-PLUS (WI-FI) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7888
1.48 KIPS |
|
|
Image Classification (F16)
|
100% |
5808
1.09 KIPS |
|
|
Image Classification (I8)
|
100% |
4885
914.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
10216
170.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
10287
171.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
9253
154.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
88939
107.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
90142
109.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
78964
95.6 IPS |
|
|
Object Detection (F32)
|
100% |
3501
261.3 IPS |
|
|
Object Detection (F16)
|
100% |
3387
252.9 IPS |
|
|
Object Detection (I8)
|
56% |
3323
248.1 IPS |
|
|
Face Detection (F32)
|
100% |
18997
225.9 IPS |
|
|
Face Detection (F16)
|
100% |
19075
226.8 IPS |
|
|
Face Detection (I8)
|
89% |
16229
193.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
32901
255.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
32639
253.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
27665
214.5 IPS |
|
|
Style Transfer (F32)
|
100% |
155811
205.0 IPS |
|
|
Style Transfer (F16)
|
100% |
154446
203.2 IPS |
|
|
Style Transfer (I8)
|
98% |
142030
186.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17470
623.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17564
627.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14190
506.8 IPS |
|
|
Text Classification (F32)
|
100% |
1620
2.33 KIPS |
|
|
Text Classification (F16)
|
100% |
1602
2.30 KIPS |
|
|
Text Classification (I8)
|
98% |
980
1.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
2701
49.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2695
49.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1508
27.8 IPS |
