ASUS System Product Name
Geekbench ML Score
21339
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 02 2024 09:42 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% |
12027
2.25 KIPS |
|
|
Image Classification (F16)
|
100% |
11995
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
9620
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13978
233.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
13907
232.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12634
211.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
232795
281.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
230610
279.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
210152
254.5 IPS |
|
|
Object Detection (F32)
|
100% |
5351
399.5 IPS |
|
|
Object Detection (F16)
|
100% |
5486
409.6 IPS |
|
|
Object Detection (I8)
|
56% |
4817
359.6 IPS |
|
|
Face Detection (F32)
|
100% |
40026
475.9 IPS |
|
|
Face Detection (F16)
|
100% |
40564
482.3 IPS |
|
|
Face Detection (I8)
|
88% |
34314
408.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
65312
506.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
66071
512.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
50741
393.5 IPS |
|
|
Style Transfer (F32)
|
100% |
236614
311.2 IPS |
|
|
Style Transfer (F16)
|
100% |
224954
295.9 IPS |
|
|
Style Transfer (I8)
|
98% |
208807
274.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24225
865.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24350
869.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18513
661.2 IPS |
|
|
Text Classification (F32)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3428
4.93 KIPS |
|
|
Text Classification (I8)
|
98% |
1942
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4179
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4165
76.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2325
42.8 IPS |
