ASUSTeK COMPUTER INC. ROG Flow X13 GV302XV_GV302XV
Geekbench AI Score
7397
Single Precision Score
10852
Half Precision Score
5316
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Lucky_n00b |
| Upload Date | September 17 2024 05:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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% |
2161
401.9 IPS |
|
|
Image Classification (HP)
|
100% |
4301
799.9 IPS |
|
|
Image Classification (Q)
|
100% |
2229
414.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3722
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4494
72.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3113
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
40888
47.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
75410
88.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
28957
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2242
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
3474
275.5 IPS |
|
|
Object Detection (Q)
|
89% |
1887
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
5220
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
8922
106.0 IPS |
|
|
Face Detection (Q)
|
97% |
4007
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16085
123.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23351
179.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
11996
96.7 IPS |
|
|
Style Transfer (SP)
|
100% |
74187
95.4 IPS |
|
|
Style Transfer (HP)
|
100% |
113425
145.8 IPS |
|
|
Style Transfer (Q)
|
98% |
48376
62.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13977
516.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20369
752.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8380
310.3 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1865
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2851
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1310
29.2 IPS |
