ASUSTeK COMPUTER INC. ROG Zephyrus Duo 16 GX650PI_GX650PI
Geekbench AI Score
18789
Single Precision Score
30685
Half Precision Score
14157
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 08:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus Duo 16 GX650PI_GX650PI |
| Motherboard | ASUSTeK COMPUTER INC. GX650PI |
| Power Plan | Performance |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7554
1.40 KIPS |
|
|
Image Classification (HP)
|
99% |
12207
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
6658
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12858
208.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16994
275.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11665
189.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
105474
123.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
290581
339.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
93862
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
8899
705.9 IPS |
|
|
Object Detection (HP)
|
100% |
14882
1.18 KIPS |
|
|
Object Detection (Q)
|
88% |
7325
587.4 IPS |
|
|
Face Detection (SP)
|
100% |
20093
238.7 IPS |
|
|
Face Detection (HP)
|
100% |
31808
378.0 IPS |
|
|
Face Detection (Q)
|
97% |
16695
199.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41341
318.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
79909
615.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
33091
265.8 IPS |
|
|
Style Transfer (SP)
|
100% |
171752
220.8 IPS |
|
|
Style Transfer (HP)
|
100% |
420474
540.5 IPS |
|
|
Style Transfer (Q)
|
98% |
154127
198.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35472
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49326
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24542
908.8 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1911
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3841
66.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1517
33.8 IPS |
