ASUSTeK COMPUTER INC. ROG Strix G733PZ_G733PZ
Geekbench ML Score
17067
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:59 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G733PZ_G733PZ |
| Motherboard | ASUSTeK COMPUTER INC. G733PZ |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7737
1.45 KIPS |
|
|
Image Classification (F16)
|
100% |
7485
1.40 KIPS |
|
|
Image Classification (I8)
|
100% |
6395
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10534
175.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
13667
228.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12474
208.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
134358
162.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
132694
160.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
117535
142.3 IPS |
|
|
Object Detection (F32)
|
100% |
5393
402.6 IPS |
|
|
Object Detection (F16)
|
100% |
5034
375.9 IPS |
|
|
Object Detection (I8)
|
63% |
5174
386.3 IPS |
|
|
Face Detection (F32)
|
100% |
23020
273.7 IPS |
|
|
Face Detection (F16)
|
100% |
19220
228.5 IPS |
|
|
Face Detection (I8)
|
89% |
19076
226.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
46302
359.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
44514
345.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
33459
259.5 IPS |
|
|
Style Transfer (F32)
|
100% |
182711
240.3 IPS |
|
|
Style Transfer (F16)
|
100% |
222050
292.1 IPS |
|
|
Style Transfer (I8)
|
98% |
174486
229.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
37295
1.33 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33067
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24683
881.5 IPS |
|
|
Text Classification (F32)
|
100% |
2487
3.57 KIPS |
|
|
Text Classification (F16)
|
100% |
2722
3.91 KIPS |
|
|
Text Classification (I8)
|
98% |
1537
2.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
3939
72.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3870
71.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2370
43.6 IPS |
