ASUS System Product Name
Geekbench ML Score
4262
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 02 2025 12:02 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 | 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2131
398.7 IPS |
|
|
Image Classification (F16)
|
100% |
2104
393.6 IPS |
|
|
Image Classification (I8)
|
99% |
4297
804.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1875
31.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1769
29.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3131
52.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7326
8.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
6864
8.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
27232
33.0 IPS |
|
|
Object Detection (F32)
|
100% |
2080
155.3 IPS |
|
|
Object Detection (F16)
|
100% |
2147
160.3 IPS |
|
|
Object Detection (I8)
|
62% |
2080
155.3 IPS |
|
|
Face Detection (F32)
|
100% |
4010
47.7 IPS |
|
|
Face Detection (F16)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (I8)
|
89% |
4381
52.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8472
65.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8443
65.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
15299
118.6 IPS |
|
|
Style Transfer (F32)
|
100% |
15916
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
16994
22.4 IPS |
|
|
Style Transfer (I8)
|
98% |
22881
30.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3696
132.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3720
132.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5833
208.3 IPS |
|
|
Text Classification (F32)
|
100% |
1553
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
1689
2.43 KIPS |
|
|
Text Classification (I8)
|
98% |
1422
2.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
2372
43.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2340
43.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3812
70.2 IPS |
