ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X512JP_F512JP
Geekbench AI Score
1842
Single Precision Score
1862
Half Precision Score
1354
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 07:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX330 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X512JP_F512JP |
| Motherboard | ASUSTeK COMPUTER INC. X512JP |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.3 IPS |
|
|
Image Classification (Q)
|
100% |
349
65.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
943
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9483
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5812
6.78 IPS |
|
|
Pose Estimation (Q)
|
97% |
7914
9.27 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.9 IPS |
|
|
Object Detection (HP)
|
100% |
887
70.4 IPS |
|
|
Object Detection (Q)
|
89% |
489
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
901
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3605
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3473
26.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
2861
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17362
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10861
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
13877
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3382
124.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2266
83.9 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
474
634.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1011
17.5 IPS |
|
|
Machine Translation (Q)
|
59% |
425
9.84 IPS |
