ASUSTeK COMPUTER INC. ROG Zephyrus Duo 16 GX650RX_GX650RX
Geekbench ML Score
12230
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | wjones |
| Upload Date | September 23 2024 11:11 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus Duo 16 GX650RX_GX650RX |
| Motherboard | ASUSTeK COMPUTER INC. GX650RX |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6350
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6306
1.18 KIPS |
|
|
Image Classification (I8)
|
100% |
4457
834.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
8808
147.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
9221
154.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
6812
113.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
87709
106.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
89670
108.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
70467
85.3 IPS |
|
|
Object Detection (F32)
|
100% |
4289
320.2 IPS |
|
|
Object Detection (F16)
|
100% |
4396
328.2 IPS |
|
|
Object Detection (I8)
|
63% |
3670
274.0 IPS |
|
|
Face Detection (F32)
|
100% |
17863
212.4 IPS |
|
|
Face Detection (F16)
|
100% |
17812
211.8 IPS |
|
|
Face Detection (I8)
|
89% |
13245
157.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
39770
308.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
35432
274.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
24596
190.7 IPS |
|
|
Style Transfer (F32)
|
100% |
147685
194.3 IPS |
|
|
Style Transfer (F16)
|
100% |
148580
195.4 IPS |
|
|
Style Transfer (I8)
|
98% |
112087
147.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23466
838.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23384
835.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12698
453.5 IPS |
|
|
Text Classification (F32)
|
100% |
1876
2.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1880
2.70 KIPS |
|
|
Text Classification (I8)
|
98% |
1042
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
2969
54.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2905
53.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1397
25.7 IPS |
