ASUS System Product Name
Geekbench ML Score
20820
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 03 2024 05:03 AM |
| Views | 6 |
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 | 32.0 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% |
12611
2.36 KIPS |
|
|
Image Classification (F16)
|
100% |
12645
2.37 KIPS |
|
|
Image Classification (I8)
|
100% |
10382
1.94 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14203
237.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13733
229.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
12435
207.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
218962
265.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
237789
288.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
204739
247.9 IPS |
|
|
Object Detection (F32)
|
100% |
4701
350.9 IPS |
|
|
Object Detection (F16)
|
100% |
4620
344.9 IPS |
|
|
Object Detection (I8)
|
56% |
4438
331.3 IPS |
|
|
Face Detection (F32)
|
100% |
39074
464.6 IPS |
|
|
Face Detection (F16)
|
100% |
39874
474.1 IPS |
|
|
Face Detection (I8)
|
88% |
32494
386.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
62512
484.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
63197
490.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
50079
388.4 IPS |
|
|
Style Transfer (F32)
|
100% |
225756
297.0 IPS |
|
|
Style Transfer (F16)
|
100% |
228419
300.5 IPS |
|
|
Style Transfer (I8)
|
98% |
202332
266.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23633
844.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23220
829.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17490
624.6 IPS |
|
|
Text Classification (F32)
|
100% |
3473
4.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3443
4.95 KIPS |
|
|
Text Classification (I8)
|
98% |
2002
2.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
4024
74.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4044
74.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2224
40.9 IPS |
