ASUS System Product Name
Geekbench ML Score
5167
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 03:43 PM |
| 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 | Balanced |
| 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 | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2892
541.3 IPS |
|
|
Image Classification (F16)
|
100% |
2828
529.2 IPS |
|
|
Image Classification (I8)
|
99% |
4592
859.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2363
39.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2345
39.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3460
57.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11725
14.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
11941
14.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
36458
44.1 IPS |
|
|
Object Detection (F32)
|
100% |
2615
195.2 IPS |
|
|
Object Detection (F16)
|
100% |
2647
197.6 IPS |
|
|
Object Detection (I8)
|
62% |
2266
169.1 IPS |
|
|
Face Detection (F32)
|
100% |
5228
62.2 IPS |
|
|
Face Detection (F16)
|
100% |
5144
61.2 IPS |
|
|
Face Detection (I8)
|
89% |
5158
61.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
11775
91.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11469
88.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
17433
135.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27339
36.0 IPS |
|
|
Style Transfer (F16)
|
100% |
27219
35.8 IPS |
|
|
Style Transfer (I8)
|
98% |
28271
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4943
176.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5053
180.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6846
244.5 IPS |
|
|
Text Classification (F32)
|
100% |
1792
2.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1800
2.59 KIPS |
|
|
Text Classification (I8)
|
98% |
535
769.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2472
45.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2463
45.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3511
64.6 IPS |
