ASUS System Product Name
Geekbench ML Score
28628
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 01 2025 06:21 AM |
| Views | 4 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 3.00 MB x 1 |
| L3 Cache | 24.0 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% |
12191
2.28 KIPS |
|
|
Image Classification (F16)
|
100% |
12607
2.36 KIPS |
|
|
Image Classification (I8)
|
100% |
10709
2.00 KIPS |
|
|
Image Segmentation (F32)
|
100% |
19994
333.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
19842
331.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
17798
297.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
285120
345.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
285021
345.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
250331
303.1 IPS |
|
|
Object Detection (F32)
|
100% |
8270
617.4 IPS |
|
|
Object Detection (F16)
|
100% |
8336
622.4 IPS |
|
|
Object Detection (I8)
|
54% |
8106
605.2 IPS |
|
|
Face Detection (F32)
|
100% |
44547
529.7 IPS |
|
|
Face Detection (F16)
|
100% |
45098
536.2 IPS |
|
|
Face Detection (I8)
|
88% |
36812
437.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
85829
665.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
87429
678.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
67229
521.4 IPS |
|
|
Style Transfer (F32)
|
100% |
458174
602.7 IPS |
|
|
Style Transfer (F16)
|
100% |
477593
628.2 IPS |
|
|
Style Transfer (I8)
|
98% |
422085
555.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
50302
1.80 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
52464
1.87 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
40319
1.44 KIPS |
|
|
Text Classification (F32)
|
100% |
3132
4.50 KIPS |
|
|
Text Classification (F16)
|
100% |
2867
4.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1824
2.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
4846
89.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4914
90.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2677
49.3 IPS |
