ASUS System Product Name
Geekbench ML Score
17162
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING 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 | NVIDIA GeForce RTX 4060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7990
1.50 KIPS |
|
|
Image Classification (F16)
|
100% |
8433
1.58 KIPS |
|
|
Image Classification (I8)
|
100% |
7467
1.40 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13036
217.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
12988
216.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12108
202.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
106016
128.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
106540
129.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
93302
113.0 IPS |
|
|
Object Detection (F32)
|
100% |
6092
454.8 IPS |
|
|
Object Detection (F16)
|
100% |
6145
458.8 IPS |
|
|
Object Detection (I8)
|
63% |
5685
424.4 IPS |
|
|
Face Detection (F32)
|
100% |
21479
255.4 IPS |
|
|
Face Detection (F16)
|
100% |
22196
263.9 IPS |
|
|
Face Detection (I8)
|
89% |
18143
215.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
47358
367.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
44330
343.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
37306
289.3 IPS |
|
|
Style Transfer (F32)
|
100% |
196482
258.5 IPS |
|
|
Style Transfer (F16)
|
100% |
183348
241.2 IPS |
|
|
Style Transfer (I8)
|
98% |
165997
218.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32288
1.15 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32430
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24128
861.7 IPS |
|
|
Text Classification (F32)
|
100% |
2773
3.99 KIPS |
|
|
Text Classification (F16)
|
100% |
2759
3.97 KIPS |
|
|
Text Classification (I8)
|
98% |
1827
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
3890
71.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3891
71.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2177
40.1 IPS |
