ASUSTeK COMPUTER INC. ROG Flow X13 GV302XV_GV302XV
Geekbench AI Score
5595
Single Precision Score
5591
Half Precision Score
16175
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Lucky_n00b |
| Upload Date | September 17 2024 05:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow X13 GV302XV_GV302XV |
| Motherboard | ASUSTeK COMPUTER INC. GV302XV |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4094
761.3 IPS |
|
|
Image Classification (HP)
|
100% |
4115
765.2 IPS |
|
|
Image Classification (Q)
|
100% |
10502
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8954
145.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7804
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
7829
9.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
31889
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
3353
266.0 IPS |
|
|
Object Detection (HP)
|
100% |
3516
278.9 IPS |
|
|
Object Detection (Q)
|
88% |
10686
856.6 IPS |
|
|
Face Detection (SP)
|
100% |
6517
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
6510
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
25931
308.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9754
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9638
74.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
28528
222.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21599
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21664
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
84486
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4805
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4638
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16177
599.1 IPS |
|
|
Text Classification (SP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
92% |
5508
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4966
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4845
83.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6870
118.3 IPS |
