ASUS System Product Name
Geekbench ML Score
19201
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 08:07 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 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9840
1.84 KIPS |
|
|
Image Classification (F16)
|
100% |
11580
2.17 KIPS |
|
|
Image Classification (I8)
|
100% |
9600
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9429
157.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
14393
240.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
12359
206.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
119334
144.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
122752
148.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
109497
132.6 IPS |
|
|
Object Detection (F32)
|
100% |
5489
409.8 IPS |
|
|
Object Detection (F16)
|
100% |
5789
432.2 IPS |
|
|
Object Detection (I8)
|
62% |
5337
398.4 IPS |
|
|
Face Detection (F32)
|
100% |
25505
303.3 IPS |
|
|
Face Detection (F16)
|
100% |
26853
319.3 IPS |
|
|
Face Detection (I8)
|
89% |
20858
248.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
52030
403.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
55195
428.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
43815
339.8 IPS |
|
|
Style Transfer (F32)
|
100% |
196151
258.0 IPS |
|
|
Style Transfer (F16)
|
100% |
194774
256.2 IPS |
|
|
Style Transfer (I8)
|
98% |
171675
225.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29606
1.06 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
30438
1.09 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26055
930.5 IPS |
|
|
Text Classification (F32)
|
100% |
3310
4.76 KIPS |
|
|
Text Classification (F16)
|
100% |
3835
5.51 KIPS |
|
|
Text Classification (I8)
|
98% |
2374
3.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
4676
86.1 IPS |
|
|
Machine Translation (F16)
|
100% |
5405
99.5 IPS |
|
|
Machine Translation (I8)
|
70% |
3007
55.3 IPS |
