ASUSTeK COMPUTER INC. ROG Strix G533ZM_G533ZM
Geekbench ML Score
10685
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 12:01 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 | NVIDIA GeForce RTX 3060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5335
998.3 IPS |
|
|
Image Classification (F16)
|
100% |
5310
993.6 IPS |
|
|
Image Classification (I8)
|
100% |
3935
736.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
7712
128.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7315
122.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
6105
102.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
65717
79.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
66083
80.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
50459
61.1 IPS |
|
|
Object Detection (F32)
|
100% |
4774
356.4 IPS |
|
|
Object Detection (F16)
|
100% |
4492
335.4 IPS |
|
|
Object Detection (I8)
|
63% |
3818
285.0 IPS |
|
|
Face Detection (F32)
|
100% |
14631
174.0 IPS |
|
|
Face Detection (F16)
|
100% |
13845
164.6 IPS |
|
|
Face Detection (I8)
|
89% |
10920
129.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
31717
246.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
31866
247.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
23093
179.1 IPS |
|
|
Style Transfer (F32)
|
100% |
121554
159.9 IPS |
|
|
Style Transfer (F16)
|
100% |
108175
142.3 IPS |
|
|
Style Transfer (I8)
|
98% |
89172
117.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19109
682.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18172
649.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12340
440.7 IPS |
|
|
Text Classification (F32)
|
100% |
1785
2.57 KIPS |
|
|
Text Classification (F16)
|
100% |
2257
3.24 KIPS |
|
|
Text Classification (I8)
|
98% |
969
1.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
2726
50.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2796
51.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1375
25.3 IPS |
