ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X712EA_X712EA
Geekbench AI Score
1853
Single Precision Score
916
Half Precision Score
3013
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Imro74 |
| Upload Date | March 05 2025 09:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| 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% |
1608
299.0 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
99% |
3915
730.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1538
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3134
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2474
2.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
10171
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (Q)
|
86% |
2948
236.9 IPS |
|
|
Face Detection (SP)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (Q)
|
97% |
4848
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4116
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1429
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7848
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6777
8.71 IPS |
|
|
Style Transfer (HP)
|
100% |
5801
7.46 IPS |
|
|
Style Transfer (Q)
|
98% |
7484
9.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2576
95.4 IPS |
|
|
Text Classification (SP)
|
100% |
1260
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
713
952.3 IPS |
|
|
Text Classification (Q)
|
97% |
390
522.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.43 IPS |
|
|
Machine Translation (Q)
|
65% |
1195
24.0 IPS |
