ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X712EA_X712EA
Geekbench AI Score
1343
Single Precision Score
800
Half Precision Score
1993
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Hally40 |
| Upload Date | October 12 2024 10:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X712EA_X712EA |
| Motherboard | ASUSTeK COMPUTER INC. X712EA |
| Power Plan | ASUS Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
995
185.1 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (Q)
|
99% |
1783
332.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
1276
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2359
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2033
2.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
9252
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (Q)
|
88% |
1172
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (HP)
|
100% |
672
7.99 IPS |
|
|
Face Detection (Q)
|
97% |
1970
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2623
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1255
9.67 IPS |
|
|
Depth Estimation (Q)
|
77% |
3303
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5535
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
4863
6.25 IPS |
|
|
Style Transfer (Q)
|
98% |
7289
9.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2162
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
1191
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
516
689.1 IPS |
|
|
Text Classification (Q)
|
97% |
415
555.3 IPS |
|
|
Machine Translation (SP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
60% |
944
21.0 IPS |
