LENOVO 83GS
Geekbench AI Score
797
Single Precision Score
833
Half Precision Score
544
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | GadgetVisioi |
| Upload Date | December 20 2024 06:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83GS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450HX |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (Q)
|
100% |
279
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
345
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2232
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2459
2.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
1596
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (HP)
|
98% |
318
25.3 IPS |
|
|
Object Detection (Q)
|
86% |
315
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.32 IPS |
|
|
Face Detection (Q)
|
97% |
560
6.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1364
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
1516
11.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1031
8.26 IPS |
|
|
Style Transfer (SP)
|
100% |
4540
5.84 IPS |
|
|
Style Transfer (HP)
|
100% |
6129
7.88 IPS |
|
|
Style Transfer (Q)
|
98% |
3487
4.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
438
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
405
540.5 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.9 IPS |
|
|
Text Classification (Q)
|
97% |
214
286.8 IPS |
|
|
Machine Translation (SP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (Q)
|
70% |
252
4.74 IPS |
