ASUS System Product Name
Geekbench ML Score
20653
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | enfwngzer |
| Upload Date | December 20 2024 10:02 AM |
| 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 B660-A GAMING WIFI D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 25.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9763
1.83 KIPS |
|
|
Image Classification (F16)
|
100% |
10040
1.88 KIPS |
|
|
Image Classification (I8)
|
100% |
8988
1.68 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13972
233.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
14533
242.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
13612
227.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
154704
187.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
154051
186.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
136759
165.6 IPS |
|
|
Object Detection (F32)
|
100% |
6266
467.8 IPS |
|
|
Object Detection (F16)
|
100% |
6025
449.8 IPS |
|
|
Object Detection (I8)
|
63% |
5939
443.4 IPS |
|
|
Face Detection (F32)
|
100% |
28187
335.1 IPS |
|
|
Face Detection (F16)
|
100% |
29117
346.2 IPS |
|
|
Face Detection (I8)
|
89% |
23867
283.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
61172
474.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
57383
445.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
46741
362.5 IPS |
|
|
Style Transfer (F32)
|
100% |
261381
343.8 IPS |
|
|
Style Transfer (F16)
|
100% |
252100
331.6 IPS |
|
|
Style Transfer (I8)
|
98% |
234288
308.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41525
1.48 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
40474
1.45 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
30654
1.09 KIPS |
|
|
Text Classification (F32)
|
100% |
3007
4.32 KIPS |
|
|
Text Classification (F16)
|
100% |
2905
4.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1798
2.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
4069
74.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3908
71.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2481
45.7 IPS |
