ASUS System Product Name
Geekbench ML Score
23432
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 22 2024 08:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
13877
2.60 KIPS |
|
|
Image Classification (F16)
|
100% |
13941
2.61 KIPS |
|
|
Image Classification (I8)
|
100% |
11865
2.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15038
251.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
15109
252.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
13993
233.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
268201
324.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
267758
324.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
230469
279.1 IPS |
|
|
Object Detection (F32)
|
100% |
5257
392.5 IPS |
|
|
Object Detection (F16)
|
100% |
5184
387.0 IPS |
|
|
Object Detection (I8)
|
56% |
6313
471.3 IPS |
|
|
Face Detection (F32)
|
100% |
42240
502.2 IPS |
|
|
Face Detection (F16)
|
100% |
41883
498.0 IPS |
|
|
Face Detection (I8)
|
89% |
36164
430.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
73371
569.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
75353
584.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
61476
476.7 IPS |
|
|
Style Transfer (F32)
|
100% |
223363
293.8 IPS |
|
|
Style Transfer (F16)
|
100% |
215463
283.4 IPS |
|
|
Style Transfer (I8)
|
98% |
203893
268.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23237
829.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23216
829.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18750
669.6 IPS |
|
|
Text Classification (F32)
|
100% |
3743
5.38 KIPS |
|
|
Text Classification (F16)
|
100% |
3783
5.44 KIPS |
|
|
Text Classification (I8)
|
98% |
2554
3.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
4858
89.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4880
89.8 IPS |
|
|
Machine Translation (I8)
|
70% |
3233
59.5 IPS |
