ASUS System Product Name
Geekbench ML Score
4163
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 21 2024 08:41 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z590-PLUS |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 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% |
2324
434.8 IPS |
|
|
Image Classification (F16)
|
100% |
2321
434.4 IPS |
|
|
Image Classification (I8)
|
99% |
4631
866.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1931
32.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1908
31.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2442
40.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8377
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
8328
10.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
26790
32.4 IPS |
|
|
Object Detection (F32)
|
100% |
2151
160.6 IPS |
|
|
Object Detection (F16)
|
100% |
2139
159.7 IPS |
|
|
Object Detection (I8)
|
62% |
2190
163.5 IPS |
|
|
Face Detection (F32)
|
100% |
2897
34.4 IPS |
|
|
Face Detection (F16)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (I8)
|
89% |
4991
59.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8670
67.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8645
67.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
17871
138.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18983
25.0 IPS |
|
|
Style Transfer (F16)
|
100% |
18547
24.4 IPS |
|
|
Style Transfer (I8)
|
98% |
22977
30.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3723
132.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3680
131.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5088
181.7 IPS |
|
|
Text Classification (F32)
|
100% |
2044
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
2009
2.89 KIPS |
|
|
Text Classification (I8)
|
98% |
561
806.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2050
37.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2140
39.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2800
51.5 IPS |
