ASUS System Product Name
Geekbench ML Score
21301
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 05 2024 05:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 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 | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11964
2.24 KIPS |
|
|
Image Classification (F16)
|
100% |
12151
2.27 KIPS |
|
|
Image Classification (I8)
|
100% |
9822
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13925
232.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
14212
237.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
13319
222.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
237072
287.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
234374
283.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
205574
248.9 IPS |
|
|
Object Detection (F32)
|
100% |
5708
426.1 IPS |
|
|
Object Detection (F16)
|
100% |
5453
407.1 IPS |
|
|
Object Detection (I8)
|
56% |
4250
317.3 IPS |
|
|
Face Detection (F32)
|
100% |
40252
478.6 IPS |
|
|
Face Detection (F16)
|
100% |
39531
470.0 IPS |
|
|
Face Detection (I8)
|
88% |
33879
402.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
64564
500.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
63719
494.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
51723
401.1 IPS |
|
|
Style Transfer (F32)
|
100% |
230961
303.8 IPS |
|
|
Style Transfer (F16)
|
100% |
229105
301.4 IPS |
|
|
Style Transfer (I8)
|
98% |
207619
273.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23892
853.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25198
899.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19076
681.3 IPS |
|
|
Text Classification (F32)
|
100% |
3315
4.76 KIPS |
|
|
Text Classification (F16)
|
100% |
3305
4.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1933
2.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
4193
77.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4185
77.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2327
42.8 IPS |
