ASUS System Product Name
Geekbench ML Score
5331
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | September 12 2024 05:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Dengeli |
| 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 | 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% |
2916
545.7 IPS |
|
|
Image Classification (F16)
|
100% |
2791
522.4 IPS |
|
|
Image Classification (I8)
|
99% |
4644
869.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2435
40.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2443
40.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3802
63.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
11986
14.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
11794
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
35051
42.4 IPS |
|
|
Object Detection (F32)
|
100% |
2623
195.9 IPS |
|
|
Object Detection (F16)
|
100% |
2583
192.8 IPS |
|
|
Object Detection (I8)
|
62% |
2224
166.1 IPS |
|
|
Face Detection (F32)
|
100% |
5993
71.3 IPS |
|
|
Face Detection (F16)
|
100% |
5667
67.4 IPS |
|
|
Face Detection (I8)
|
89% |
5661
67.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
11460
88.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11506
89.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
18829
146.0 IPS |
|
|
Style Transfer (F32)
|
100% |
28253
37.2 IPS |
|
|
Style Transfer (F16)
|
100% |
28181
37.1 IPS |
|
|
Style Transfer (I8)
|
98% |
31836
41.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5228
186.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5368
191.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6824
243.7 IPS |
|
|
Text Classification (F32)
|
100% |
1805
2.59 KIPS |
|
|
Text Classification (F16)
|
100% |
1806
2.60 KIPS |
|
|
Text Classification (I8)
|
98% |
504
723.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2664
49.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2703
49.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3650
67.2 IPS |
