ASUS System Product Name
Geekbench ML Score
5493
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 20 2024 11:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 DARK HERO |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2760
516.5 IPS |
|
|
Image Classification (F16)
|
100% |
2785
521.1 IPS |
|
|
Image Classification (I8)
|
99% |
4618
864.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2392
39.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2385
39.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3965
66.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
11339
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
11263
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
38589
46.7 IPS |
|
|
Object Detection (F32)
|
100% |
2628
196.2 IPS |
|
|
Object Detection (F16)
|
100% |
2662
198.7 IPS |
|
|
Object Detection (I8)
|
62% |
2472
184.5 IPS |
|
|
Face Detection (F32)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (F16)
|
100% |
5338
63.5 IPS |
|
|
Face Detection (I8)
|
89% |
5978
71.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
11613
90.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11401
88.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
18811
145.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27215
35.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27873
36.7 IPS |
|
|
Style Transfer (I8)
|
98% |
29622
39.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5182
185.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4968
177.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6800
242.8 IPS |
|
|
Text Classification (F32)
|
100% |
1797
2.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1834
2.64 KIPS |
|
|
Text Classification (I8)
|
98% |
1378
1.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
2744
50.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2698
49.7 IPS |
|
|
Machine Translation (I8)
|
67% |
4067
74.9 IPS |
