ASUS System Product Name
Geekbench ML Score
27717
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | October 09 2024 02:46 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 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 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11862
2.22 KIPS |
|
|
Image Classification (F16)
|
100% |
12242
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
9773
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18352
306.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
17811
297.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
16572
276.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
283787
343.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
284344
344.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
245684
297.5 IPS |
|
|
Object Detection (F32)
|
100% |
8193
611.6 IPS |
|
|
Object Detection (F16)
|
100% |
8114
605.8 IPS |
|
|
Object Detection (I8)
|
54% |
7560
564.4 IPS |
|
|
Face Detection (F32)
|
100% |
42566
506.1 IPS |
|
|
Face Detection (F16)
|
100% |
43246
514.2 IPS |
|
|
Face Detection (I8)
|
88% |
36118
429.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
94532
733.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
83725
649.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
64990
504.0 IPS |
|
|
Style Transfer (F32)
|
100% |
470781
619.3 IPS |
|
|
Style Transfer (F16)
|
100% |
493050
648.6 IPS |
|
|
Style Transfer (I8)
|
98% |
385278
506.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
47194
1.69 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
46776
1.67 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38803
1.39 KIPS |
|
|
Text Classification (F32)
|
100% |
3042
4.37 KIPS |
|
|
Text Classification (F16)
|
100% |
3050
4.38 KIPS |
|
|
Text Classification (I8)
|
98% |
1840
2.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
4609
84.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4636
85.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2618
48.2 IPS |
