ASUS System Product Name
Geekbench ML Score
24604
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 07:59 AM |
| 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 X670E-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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
14833
2.78 KIPS |
|
|
Image Classification (F16)
|
100% |
14915
2.79 KIPS |
|
|
Image Classification (I8)
|
100% |
12660
2.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16093
268.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
16026
267.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
15107
252.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
252992
306.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
265392
321.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
232946
282.1 IPS |
|
|
Object Detection (F32)
|
100% |
5541
413.6 IPS |
|
|
Object Detection (F16)
|
100% |
5481
409.2 IPS |
|
|
Object Detection (I8)
|
56% |
5201
388.3 IPS |
|
|
Face Detection (F32)
|
100% |
44262
526.3 IPS |
|
|
Face Detection (F16)
|
100% |
44481
528.9 IPS |
|
|
Face Detection (I8)
|
88% |
38461
457.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
75452
585.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
76636
594.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
60112
466.2 IPS |
|
|
Style Transfer (F32)
|
100% |
242775
319.3 IPS |
|
|
Style Transfer (F16)
|
100% |
239333
314.8 IPS |
|
|
Style Transfer (I8)
|
98% |
220106
289.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24340
869.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25527
911.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19876
709.8 IPS |
|
|
Text Classification (F32)
|
100% |
4405
6.33 KIPS |
|
|
Text Classification (F16)
|
100% |
4358
6.26 KIPS |
|
|
Text Classification (I8)
|
98% |
2891
4.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
5037
92.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5092
93.7 IPS |
|
|
Machine Translation (I8)
|
70% |
3371
62.0 IPS |
