ASUS System Product Name
Geekbench ML Score
21606
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:49 AM |
| Views | 2 |
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% |
11675
2.18 KIPS |
|
|
Image Classification (F16)
|
100% |
12074
2.26 KIPS |
|
|
Image Classification (I8)
|
100% |
9838
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13922
232.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
14125
235.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12462
208.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
234281
283.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
233605
282.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
204348
247.5 IPS |
|
|
Object Detection (F32)
|
100% |
5651
421.9 IPS |
|
|
Object Detection (F16)
|
100% |
5414
404.2 IPS |
|
|
Object Detection (I8)
|
56% |
6275
468.5 IPS |
|
|
Face Detection (F32)
|
100% |
40458
481.1 IPS |
|
|
Face Detection (F16)
|
100% |
40246
478.5 IPS |
|
|
Face Detection (I8)
|
88% |
33611
399.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
68120
528.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
64023
496.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
51434
398.9 IPS |
|
|
Style Transfer (F32)
|
100% |
233193
306.7 IPS |
|
|
Style Transfer (F16)
|
100% |
234425
308.4 IPS |
|
|
Style Transfer (I8)
|
98% |
210291
276.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24907
889.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25679
917.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18601
664.3 IPS |
|
|
Text Classification (F32)
|
100% |
3409
4.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3403
4.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1922
2.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
4099
75.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4184
77.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2328
42.8 IPS |
