ASUS System Product Name
Geekbench ML Score
5270
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 10 2024 06:16 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2899
542.5 IPS |
|
|
Image Classification (F16)
|
100% |
2924
547.1 IPS |
|
|
Image Classification (I8)
|
99% |
4631
866.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2410
40.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2426
40.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3451
57.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
12326
14.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
12251
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
35401
42.9 IPS |
|
|
Object Detection (F32)
|
100% |
2620
195.6 IPS |
|
|
Object Detection (F16)
|
100% |
2707
202.1 IPS |
|
|
Object Detection (I8)
|
62% |
2417
180.4 IPS |
|
|
Face Detection (F32)
|
100% |
5345
63.6 IPS |
|
|
Face Detection (F16)
|
100% |
5439
64.7 IPS |
|
|
Face Detection (I8)
|
89% |
5359
63.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
11642
90.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11834
91.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
18331
142.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27989
36.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27560
36.3 IPS |
|
|
Style Transfer (I8)
|
98% |
30582
40.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5220
186.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5150
183.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6529
233.2 IPS |
|
|
Text Classification (F32)
|
100% |
1844
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1795
2.58 KIPS |
|
|
Text Classification (I8)
|
98% |
517
742.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2559
47.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2554
47.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3424
63.0 IPS |
