ASUSTeK COMPUTER INC. ROG Flow X13 GV301QC_GV301QC
Geekbench AI Score
3076
Single Precision Score
4003
Half Precision Score
2303
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | aapivone |
| Upload Date | January 03 2025 11:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow X13 GV301QC_GV301QC |
| Motherboard | ASUSTeK COMPUTER INC. GV301QC |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5980HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
981
182.4 IPS |
|
|
Image Classification (HP)
|
100% |
1150
213.8 IPS |
|
|
Image Classification (Q)
|
100% |
882
164.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1211
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13797
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25111
29.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11165
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1153
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (Q)
|
86% |
1040
83.7 IPS |
|
|
Face Detection (SP)
|
100% |
2230
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
1958
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5851
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7484
57.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4745
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23615
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39961
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18278
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4768
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7751
286.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3214
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
824
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (Q)
|
70% |
753
14.1 IPS |
