ASUS System Product Name
Geekbench ML Score
5076
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 01 2025 06:20 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2570
480.8 IPS |
|
|
Image Classification (F16)
|
100% |
2546
476.3 IPS |
|
|
Image Classification (I8)
|
99% |
4732
885.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2010
33.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2017
33.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3384
56.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9668
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9671
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
34302
41.5 IPS |
|
|
Object Detection (F32)
|
100% |
2549
190.3 IPS |
|
|
Object Detection (F16)
|
100% |
2485
185.5 IPS |
|
|
Object Detection (I8)
|
62% |
2379
177.6 IPS |
|
|
Face Detection (F32)
|
100% |
5101
60.7 IPS |
|
|
Face Detection (F16)
|
100% |
5087
60.5 IPS |
|
|
Face Detection (I8)
|
89% |
5394
64.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10082
78.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10387
80.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
18407
142.7 IPS |
|
|
Style Transfer (F32)
|
100% |
22720
29.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22587
29.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28261
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4491
160.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4595
164.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6219
222.1 IPS |
|
|
Text Classification (F32)
|
100% |
1805
2.59 KIPS |
|
|
Text Classification (F16)
|
100% |
1841
2.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1485
2.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
2639
48.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2589
47.6 IPS |
|
|
Machine Translation (I8)
|
67% |
4224
77.7 IPS |
