ASUSTeK COMPUTER INC. ROG Zephyrus Duo 16 GX650RX_GX650RX
Geekbench AI Score
16018
Single Precision Score
25038
Half Precision Score
10377
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | wjones |
| Upload Date | January 02 2025 07:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6764
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
10220
1.91 KIPS |
|
|
Image Classification (Q)
|
100% |
4654
865.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9979
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13488
218.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7943
129.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
98543
115.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
248438
289.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
80023
93.7 IPS |
|
|
Object Detection (SP)
|
100% |
7996
634.2 IPS |
|
|
Object Detection (HP)
|
100% |
12859
1.02 KIPS |
|
|
Object Detection (Q)
|
89% |
5615
449.5 IPS |
|
|
Face Detection (SP)
|
100% |
18335
217.9 IPS |
|
|
Face Detection (HP)
|
100% |
25906
307.8 IPS |
|
|
Face Detection (Q)
|
97% |
12967
154.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
40903
315.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74346
572.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
25986
209.4 IPS |
|
|
Style Transfer (SP)
|
100% |
166760
214.4 IPS |
|
|
Style Transfer (HP)
|
100% |
411193
528.6 IPS |
|
|
Style Transfer (Q)
|
98% |
130262
168.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25214
931.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32587
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15241
564.3 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
2883
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1255
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2956
50.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1039
23.2 IPS |
