ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X712EA_X712EA
Geekbench AI Score
2509
Single Precision Score
2537
Half Precision Score
7270
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Imro74 |
| Upload Date | March 05 2025 10:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| 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 i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1687
313.8 IPS |
|
|
Image Classification (HP)
|
100% |
1733
322.2 IPS |
|
|
Image Classification (Q)
|
100% |
5272
980.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3536
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3266
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3209
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
12885
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (Q)
|
88% |
5065
406.0 IPS |
|
|
Face Detection (SP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
2384
28.3 IPS |
|
|
Face Detection (Q)
|
100% |
11470
136.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4230
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4283
33.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12768
99.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8603
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8659
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33445
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7201
266.7 IPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
4158
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2343
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2346
40.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2314
39.9 IPS |
