ASUS System Product Name
Geekbench ML Score
28257
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 27 2024 01:59 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 Z790-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12454
2.33 KIPS |
|
|
Image Classification (F16)
|
100% |
12830
2.40 KIPS |
|
|
Image Classification (I8)
|
100% |
10412
1.95 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18937
316.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
18863
315.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
17449
291.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
292544
354.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
293626
355.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
255142
309.0 IPS |
|
|
Object Detection (F32)
|
100% |
8012
598.1 IPS |
|
|
Object Detection (F16)
|
100% |
8158
609.1 IPS |
|
|
Object Detection (I8)
|
54% |
7779
580.7 IPS |
|
|
Face Detection (F32)
|
100% |
41817
497.2 IPS |
|
|
Face Detection (F16)
|
100% |
41756
496.5 IPS |
|
|
Face Detection (I8)
|
88% |
35916
427.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
84716
657.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
85084
659.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
66015
511.9 IPS |
|
|
Style Transfer (F32)
|
100% |
513857
675.9 IPS |
|
|
Style Transfer (F16)
|
100% |
507262
667.3 IPS |
|
|
Style Transfer (I8)
|
98% |
429461
564.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
55331
1.98 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
46856
1.67 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38855
1.39 KIPS |
|
|
Text Classification (F32)
|
100% |
2958
4.25 KIPS |
|
|
Text Classification (F16)
|
100% |
3071
4.41 KIPS |
|
|
Text Classification (I8)
|
98% |
1859
2.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
4363
80.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4611
84.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2588
47.6 IPS |
