ASUS System Product Name
Geekbench ML Score
21268
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 05:15 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% |
12388
2.32 KIPS |
|
|
Image Classification (F16)
|
100% |
12482
2.34 KIPS |
|
|
Image Classification (I8)
|
100% |
10069
1.88 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13704
228.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
14040
234.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12963
216.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
237085
287.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
236326
286.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
199573
241.7 IPS |
|
|
Object Detection (F32)
|
100% |
5201
388.3 IPS |
|
|
Object Detection (F16)
|
100% |
5221
389.8 IPS |
|
|
Object Detection (I8)
|
56% |
4801
358.4 IPS |
|
|
Face Detection (F32)
|
100% |
39782
473.0 IPS |
|
|
Face Detection (F16)
|
100% |
40749
484.5 IPS |
|
|
Face Detection (I8)
|
88% |
33877
402.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
63720
494.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
65324
506.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
51330
398.1 IPS |
|
|
Style Transfer (F32)
|
100% |
225396
296.5 IPS |
|
|
Style Transfer (F16)
|
100% |
223955
294.6 IPS |
|
|
Style Transfer (I8)
|
98% |
204076
268.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23752
848.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23251
830.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18127
647.4 IPS |
|
|
Text Classification (F32)
|
100% |
3490
5.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3503
5.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1978
2.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
4183
77.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4171
76.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2352
43.3 IPS |
