ASUS System Product Name
Geekbench ML Score
12342
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 02:10 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 5975WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 8 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 32 Cores |
| L1 Instruction Cache | 32.0 KB x 32 |
| L1 Data Cache | 32.0 KB x 32 |
| L2 Cache | 512 KB x 32 |
| L3 Cache | 32.0 MB x 4 |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5738
1.07 KIPS |
|
|
Image Classification (F16)
|
100% |
5931
1.11 KIPS |
|
|
Image Classification (I8)
|
100% |
4370
817.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
9217
153.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
9232
154.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
7440
124.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
92573
112.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
91438
110.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
73431
88.9 IPS |
|
|
Object Detection (F32)
|
100% |
4499
335.9 IPS |
|
|
Object Detection (F16)
|
100% |
4503
336.2 IPS |
|
|
Object Detection (I8)
|
63% |
3671
274.1 IPS |
|
|
Face Detection (F32)
|
100% |
18902
224.7 IPS |
|
|
Face Detection (F16)
|
100% |
18793
223.5 IPS |
|
|
Face Detection (I8)
|
89% |
14159
168.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
35143
272.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
31881
247.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
23627
183.2 IPS |
|
|
Style Transfer (F32)
|
100% |
163813
215.5 IPS |
|
|
Style Transfer (F16)
|
100% |
141350
185.9 IPS |
|
|
Style Transfer (I8)
|
98% |
113573
149.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25090
896.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25035
894.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15082
538.6 IPS |
|
|
Text Classification (F32)
|
100% |
1444
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1541
2.21 KIPS |
|
|
Text Classification (I8)
|
98% |
865
1.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
3524
64.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3497
64.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1614
29.7 IPS |
