ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X513EAN_K513EA
Geekbench AI Score
812
Single Precision Score
499
Half Precision Score
1325
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | johnpeirce |
| Upload Date | October 10 2024 07:22 PM |
| Views | 7 |
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 X513EAN_K513EA |
| Motherboard | ASUSTeK COMPUTER INC. X513EAN |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.6 IPS |
|
|
Image Classification (Q)
|
99% |
789
147.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
601
9.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
1198
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
5254
6.16 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
88% |
976
78.2 IPS |
|
|
Face Detection (SP)
|
100% |
872
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
97% |
1346
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1433
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
790
6.09 IPS |
|
|
Depth Estimation (Q)
|
77% |
2161
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3524
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
2521
3.24 IPS |
|
|
Style Transfer (Q)
|
98% |
6608
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
608
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1732
64.1 IPS |
|
|
Text Classification (SP)
|
100% |
662
883.5 IPS |
|
|
Text Classification (HP)
|
100% |
516
688.5 IPS |
|
|
Text Classification (Q)
|
97% |
281
376.0 IPS |
|
|
Machine Translation (SP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.76 IPS |
|
|
Machine Translation (Q)
|
60% |
736
16.4 IPS |
