ASUS System Product Name
Geekbench ML Score
21093
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 28 2025 06:15 AM |
| Views | 7 |
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% |
12027
2.25 KIPS |
|
|
Image Classification (F16)
|
100% |
11956
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
9880
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14015
234.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
13767
229.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12592
210.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
226567
274.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
232474
281.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
210925
255.4 IPS |
|
|
Object Detection (F32)
|
100% |
5455
407.2 IPS |
|
|
Object Detection (F16)
|
100% |
5434
405.7 IPS |
|
|
Object Detection (I8)
|
56% |
4490
335.2 IPS |
|
|
Face Detection (F32)
|
100% |
38928
462.9 IPS |
|
|
Face Detection (F16)
|
100% |
39720
472.3 IPS |
|
|
Face Detection (I8)
|
88% |
33187
394.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
66970
519.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
65658
509.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
51548
399.8 IPS |
|
|
Style Transfer (F32)
|
100% |
226619
298.1 IPS |
|
|
Style Transfer (F16)
|
100% |
224710
295.6 IPS |
|
|
Style Transfer (I8)
|
98% |
206200
271.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22879
817.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23190
828.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17441
622.9 IPS |
|
|
Text Classification (F32)
|
100% |
3468
4.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3470
4.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1913
2.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
4096
75.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4173
76.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2335
43.0 IPS |
