ASUSTeK COMPUTER INC. ROG Strix G533ZM_G533ZM
Geekbench ML Score
3324
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 10:44 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G533ZM_G533ZM |
| Motherboard | ASUSTeK COMPUTER INC. G533ZM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 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% |
1835
343.3 IPS |
|
|
Image Classification (F16)
|
100% |
1837
343.8 IPS |
|
|
Image Classification (I8)
|
99% |
3229
604.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1659
27.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1649
27.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2346
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5698
6.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
5667
6.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
19771
23.9 IPS |
|
|
Object Detection (F32)
|
100% |
1721
128.5 IPS |
|
|
Object Detection (F16)
|
100% |
1727
128.9 IPS |
|
|
Object Detection (I8)
|
62% |
1644
122.8 IPS |
|
|
Face Detection (F32)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (F16)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (I8)
|
89% |
3817
45.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6405
49.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6465
50.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
12479
96.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13740
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13492
17.7 IPS |
|
|
Style Transfer (I8)
|
98% |
20269
26.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2931
104.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3010
107.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4248
151.7 IPS |
|
|
Text Classification (F32)
|
100% |
1394
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1390
2.00 KIPS |
|
|
Text Classification (I8)
|
98% |
411
590.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1738
32.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1747
32.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2431
44.7 IPS |
