ASUS System Product Name
Geekbench ML Score
21092
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 10 2024 05:55 AM |
| Views | 3 |
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% |
12306
2.30 KIPS |
|
|
Image Classification (F16)
|
100% |
12281
2.30 KIPS |
|
|
Image Classification (I8)
|
100% |
10213
1.91 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14110
235.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
13715
229.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
12290
205.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
233387
282.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
237857
288.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
209608
253.8 IPS |
|
|
Object Detection (F32)
|
100% |
5015
374.4 IPS |
|
|
Object Detection (F16)
|
100% |
5102
380.9 IPS |
|
|
Object Detection (I8)
|
56% |
4607
343.9 IPS |
|
|
Face Detection (F32)
|
100% |
39211
466.2 IPS |
|
|
Face Detection (F16)
|
100% |
39268
466.9 IPS |
|
|
Face Detection (I8)
|
88% |
33145
394.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
64140
497.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
63317
491.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
49370
382.9 IPS |
|
|
Style Transfer (F32)
|
100% |
232463
305.8 IPS |
|
|
Style Transfer (F16)
|
100% |
227177
298.8 IPS |
|
|
Style Transfer (I8)
|
98% |
213494
280.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23585
842.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23410
836.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18214
650.5 IPS |
|
|
Text Classification (F32)
|
100% |
3413
4.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3432
4.93 KIPS |
|
|
Text Classification (I8)
|
98% |
1974
2.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
4041
74.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4167
76.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2327
42.8 IPS |
