ASUS System Product Name
Geekbench ML Score
28711
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 02 2025 12:09 PM |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225F |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 5 |
| L1 Data Cache | 48.0 KB x 5 |
| L2 Cache | 3.00 MB x 1 |
| L3 Cache | 20.0 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% |
12209
2.28 KIPS |
|
|
Image Classification (F16)
|
100% |
12707
2.38 KIPS |
|
|
Image Classification (I8)
|
100% |
10865
2.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
20144
336.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
19430
324.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
18156
303.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
284707
344.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
283213
343.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
248120
300.5 IPS |
|
|
Object Detection (F32)
|
100% |
8488
633.7 IPS |
|
|
Object Detection (F16)
|
100% |
8487
633.6 IPS |
|
|
Object Detection (I8)
|
54% |
8002
597.4 IPS |
|
|
Face Detection (F32)
|
100% |
44607
530.4 IPS |
|
|
Face Detection (F16)
|
100% |
45327
539.0 IPS |
|
|
Face Detection (I8)
|
88% |
37943
451.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
91733
711.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
86773
672.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
67043
519.9 IPS |
|
|
Style Transfer (F32)
|
100% |
490726
645.5 IPS |
|
|
Style Transfer (F16)
|
100% |
467002
614.3 IPS |
|
|
Style Transfer (I8)
|
98% |
421126
554.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
51455
1.84 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
51478
1.84 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
37998
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
2956
4.25 KIPS |
|
|
Text Classification (F16)
|
100% |
2976
4.28 KIPS |
|
|
Text Classification (I8)
|
98% |
1812
2.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
4839
89.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4844
89.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2688
49.5 IPS |
