ASUS System Product Name
Geekbench ML Score
18465
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 25 2024 10:54 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z690-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9090
1.70 KIPS |
|
|
Image Classification (F16)
|
100% |
9250
1.73 KIPS |
|
|
Image Classification (I8)
|
100% |
5769
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14467
241.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
14162
236.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
10541
176.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
171718
207.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
179516
217.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
128941
156.1 IPS |
|
|
Object Detection (F32)
|
100% |
6418
479.2 IPS |
|
|
Object Detection (F16)
|
100% |
6322
472.0 IPS |
|
|
Object Detection (I8)
|
56% |
4958
370.2 IPS |
|
|
Face Detection (F32)
|
100% |
29187
347.0 IPS |
|
|
Face Detection (F16)
|
100% |
29358
349.1 IPS |
|
|
Face Detection (I8)
|
89% |
19266
229.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
58006
449.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
53941
418.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
33520
259.9 IPS |
|
|
Style Transfer (F32)
|
100% |
255495
336.1 IPS |
|
|
Style Transfer (F16)
|
100% |
256986
338.0 IPS |
|
|
Style Transfer (I8)
|
98% |
182660
240.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
36366
1.30 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
36572
1.31 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
20648
737.4 IPS |
|
|
Text Classification (F32)
|
100% |
2574
3.70 KIPS |
|
|
Text Classification (F16)
|
100% |
2552
3.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1276
1.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
3893
71.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3919
72.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1602
29.5 IPS |
