ASUS System Product Name
Geekbench ML Score
20953
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 31 2025 05:59 AM |
| Views | 4 |
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% |
12318
2.31 KIPS |
|
|
Image Classification (F16)
|
100% |
11854
2.22 KIPS |
|
|
Image Classification (I8)
|
100% |
9653
1.81 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13636
227.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
13594
227.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
12054
201.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
232068
281.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
234520
284.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
222976
270.0 IPS |
|
|
Object Detection (F32)
|
100% |
5671
423.4 IPS |
|
|
Object Detection (F16)
|
100% |
5576
416.3 IPS |
|
|
Object Detection (I8)
|
56% |
4463
333.2 IPS |
|
|
Face Detection (F32)
|
100% |
38427
456.9 IPS |
|
|
Face Detection (F16)
|
100% |
40093
476.7 IPS |
|
|
Face Detection (I8)
|
88% |
34131
405.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
64732
502.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
64440
499.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
48179
373.6 IPS |
|
|
Style Transfer (F32)
|
100% |
219475
288.7 IPS |
|
|
Style Transfer (F16)
|
100% |
220846
290.5 IPS |
|
|
Style Transfer (I8)
|
98% |
204940
269.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23363
834.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21982
785.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17623
629.4 IPS |
|
|
Text Classification (F32)
|
100% |
3403
4.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3434
4.94 KIPS |
|
|
Text Classification (I8)
|
98% |
1917
2.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
4090
75.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4087
75.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2262
41.6 IPS |
