ASUS System Product Name
Geekbench ML Score
29149
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 05:18 PM |
| Views | 3 |
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 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 14 |
| L1 Data Cache | 32.0 KB x 14 |
| L2 Cache | 4.00 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% |
12916
2.42 KIPS |
|
|
Image Classification (F16)
|
100% |
12871
2.41 KIPS |
|
|
Image Classification (I8)
|
100% |
11036
2.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
20191
337.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
19649
328.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
18361
306.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
289579
350.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
289945
351.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
250248
303.0 IPS |
|
|
Object Detection (F32)
|
100% |
8773
655.0 IPS |
|
|
Object Detection (F16)
|
100% |
8641
645.1 IPS |
|
|
Object Detection (I8)
|
54% |
8157
609.0 IPS |
|
|
Face Detection (F32)
|
100% |
45366
539.4 IPS |
|
|
Face Detection (F16)
|
100% |
45466
540.6 IPS |
|
|
Face Detection (I8)
|
88% |
37766
449.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
84534
655.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
85186
660.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
65575
508.5 IPS |
|
|
Style Transfer (F32)
|
100% |
479370
630.6 IPS |
|
|
Style Transfer (F16)
|
100% |
506822
666.7 IPS |
|
|
Style Transfer (I8)
|
98% |
423543
557.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
53736
1.92 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
51291
1.83 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
37278
1.33 KIPS |
|
|
Text Classification (F32)
|
100% |
3190
4.58 KIPS |
|
|
Text Classification (F16)
|
100% |
3233
4.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1968
2.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
4942
90.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4841
89.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2650
48.8 IPS |
