ASUSTeK COMPUTER INC. ROG Strix G533ZM_G533ZM
Geekbench ML Score
2279
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 12:00 PM |
| 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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1095
205.0 IPS |
|
|
Image Classification (F16)
|
100% |
1094
204.7 IPS |
|
|
Image Classification (I8)
|
100% |
877
164.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1778
29.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1749
29.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1261
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
10900
13.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
10854
13.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
5231
6.33 IPS |
|
|
Object Detection (F32)
|
100% |
1253
93.5 IPS |
|
|
Object Detection (F16)
|
100% |
1183
88.3 IPS |
|
|
Object Detection (I8)
|
54% |
1011
75.5 IPS |
|
|
Face Detection (F32)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (F16)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (I8)
|
89% |
1687
20.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5278
40.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5323
41.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3779
29.3 IPS |
|
|
Style Transfer (F32)
|
100% |
22319
29.4 IPS |
|
|
Style Transfer (F16)
|
100% |
22214
29.2 IPS |
|
|
Style Transfer (I8)
|
98% |
14272
18.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3163
113.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3131
111.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1348
48.1 IPS |
|
|
Text Classification (F32)
|
100% |
803
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
784
1.13 KIPS |
|
|
Text Classification (I8)
|
98% |
419
602.4 IPS |
|
|
Machine Translation (F32)
|
100% |
993
18.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1003
18.5 IPS |
|
|
Machine Translation (I8)
|
70% |
499
9.18 IPS |
