ASUS System Product Name
Geekbench ML Score
12004
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 02:07 AM |
| Views | 3 |
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% |
6440
1.21 KIPS |
|
|
Image Classification (F16)
|
100% |
6496
1.22 KIPS |
|
|
Image Classification (I8)
|
100% |
4659
871.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
7538
125.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8042
134.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
6633
110.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
91983
111.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
91510
110.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
73048
88.5 IPS |
|
|
Object Detection (F32)
|
100% |
4491
335.3 IPS |
|
|
Object Detection (F16)
|
100% |
4369
326.1 IPS |
|
|
Object Detection (I8)
|
63% |
3593
268.3 IPS |
|
|
Face Detection (F32)
|
100% |
17710
210.6 IPS |
|
|
Face Detection (F16)
|
100% |
18295
217.5 IPS |
|
|
Face Detection (I8)
|
89% |
13481
160.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
35967
278.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
32384
251.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
25645
198.9 IPS |
|
|
Style Transfer (F32)
|
100% |
144592
190.2 IPS |
|
|
Style Transfer (F16)
|
100% |
140519
184.8 IPS |
|
|
Style Transfer (I8)
|
98% |
112468
147.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24267
866.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24004
857.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14957
534.1 IPS |
|
|
Text Classification (F32)
|
100% |
1583
2.28 KIPS |
|
|
Text Classification (F16)
|
100% |
1583
2.27 KIPS |
|
|
Text Classification (I8)
|
98% |
1012
1.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
2553
47.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2912
53.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1443
26.5 IPS |
