ASUS System Product Name
Geekbench ML Score
5769
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 05:56 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-PRO WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 30.0 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% |
3074
575.2 IPS |
|
|
Image Classification (F16)
|
100% |
2939
549.9 IPS |
|
|
Image Classification (I8)
|
99% |
5265
985.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2298
38.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2306
38.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3374
56.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14449
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
14497
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
45642
55.3 IPS |
|
|
Object Detection (F32)
|
100% |
2828
211.2 IPS |
|
|
Object Detection (F16)
|
100% |
2990
223.2 IPS |
|
|
Object Detection (I8)
|
62% |
2798
208.9 IPS |
|
|
Face Detection (F32)
|
100% |
6186
73.6 IPS |
|
|
Face Detection (F16)
|
100% |
5562
66.1 IPS |
|
|
Face Detection (I8)
|
89% |
6063
72.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13440
104.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
13678
106.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
23297
180.7 IPS |
|
|
Style Transfer (F32)
|
100% |
31913
42.0 IPS |
|
|
Style Transfer (F16)
|
100% |
31915
42.0 IPS |
|
|
Style Transfer (I8)
|
98% |
33978
44.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5777
206.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5790
206.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7169
256.0 IPS |
|
|
Text Classification (F32)
|
100% |
1711
2.46 KIPS |
|
|
Text Classification (F16)
|
100% |
1832
2.63 KIPS |
|
|
Text Classification (I8)
|
98% |
566
813.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2639
48.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2549
46.9 IPS |
|
|
Machine Translation (I8)
|
67% |
4014
73.9 IPS |
