ASUS System Product Name
Geekbench ML Score
29065
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 23 2024 03:32 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| 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% |
12410
2.32 KIPS |
|
|
Image Classification (F16)
|
100% |
12348
2.31 KIPS |
|
|
Image Classification (I8)
|
100% |
10955
2.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
20062
335.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
19963
333.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
18875
315.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
288628
349.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
287672
348.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
252428
305.7 IPS |
|
|
Object Detection (F32)
|
100% |
9326
696.3 IPS |
|
|
Object Detection (F16)
|
100% |
8895
664.1 IPS |
|
|
Object Detection (I8)
|
54% |
7368
550.1 IPS |
|
|
Face Detection (F32)
|
100% |
46037
547.4 IPS |
|
|
Face Detection (F16)
|
100% |
45481
540.8 IPS |
|
|
Face Detection (I8)
|
88% |
38503
457.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
85255
661.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
85426
662.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
65365
506.9 IPS |
|
|
Style Transfer (F32)
|
100% |
491488
646.5 IPS |
|
|
Style Transfer (F16)
|
100% |
499529
657.1 IPS |
|
|
Style Transfer (I8)
|
98% |
439009
577.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
51984
1.86 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
54119
1.93 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38235
1.37 KIPS |
|
|
Text Classification (F32)
|
100% |
2986
4.29 KIPS |
|
|
Text Classification (F16)
|
100% |
3098
4.45 KIPS |
|
|
Text Classification (I8)
|
98% |
1830
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
4874
89.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4913
90.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2717
50.0 IPS |
