ASUS System Product Name
Geekbench ML Score
5515
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 07:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2889
540.6 IPS |
|
|
Image Classification (F16)
|
100% |
2924
547.2 IPS |
|
|
Image Classification (I8)
|
99% |
4767
892.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2554
42.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2549
42.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3424
57.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
11747
14.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
11772
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
36463
44.2 IPS |
|
|
Object Detection (F32)
|
100% |
3007
224.5 IPS |
|
|
Object Detection (F16)
|
100% |
2744
204.8 IPS |
|
|
Object Detection (I8)
|
62% |
2345
175.0 IPS |
|
|
Face Detection (F32)
|
100% |
6283
74.7 IPS |
|
|
Face Detection (F16)
|
100% |
6382
75.9 IPS |
|
|
Face Detection (I8)
|
89% |
6311
75.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12211
94.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
12331
95.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
20920
162.2 IPS |
|
|
Style Transfer (F32)
|
100% |
28683
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28625
37.7 IPS |
|
|
Style Transfer (I8)
|
98% |
35941
47.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5220
186.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4982
177.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6839
244.2 IPS |
|
|
Text Classification (F32)
|
100% |
1873
2.69 KIPS |
|
|
Text Classification (F16)
|
100% |
1872
2.69 KIPS |
|
|
Text Classification (I8)
|
98% |
555
798.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2593
47.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2616
48.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3662
67.4 IPS |
