ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X712EA_X712EA
Geekbench AI Score
2944
Single Precision Score
4526
Half Precision Score
7369
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Imro74 |
| Upload Date | March 05 2025 10:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
1711
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
3046
566.4 IPS |
|
|
Image Classification (Q)
|
99% |
5129
956.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3881
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5103
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8535
9.96 IPS |
|
|
Pose Estimation (HP)
|
99% |
6884
8.03 IPS |
|
|
Pose Estimation (Q)
|
97% |
29052
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
1815
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
2930
232.4 IPS |
|
|
Object Detection (Q)
|
90% |
4579
366.1 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
5589
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
10271
122.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6404
49.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11081
85.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
15990
124.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19752
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31910
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
64714
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3425
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6065
224.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10449
387.0 IPS |
|
|
Text Classification (SP)
|
71% |
1075
1.55 KIPS |
|
|
Text Classification (HP)
|
71% |
1247
1.80 KIPS |
|
|
Text Classification (Q)
|
92% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1018
17.5 IPS |
