LENOVO 81WE
Geekbench AI Score
768
Single Precision Score
887
Half Precision Score
573
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kbuck320 |
| Upload Date | July 03 2025 07:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81WE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
100% |
306
56.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
355
5.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
2553
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3498
4.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
1953
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (HP)
|
98% |
358
28.5 IPS |
|
|
Object Detection (Q)
|
86% |
328
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (Q)
|
97% |
512
6.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
1375
10.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
1727
13.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
1108
8.89 IPS |
|
|
Style Transfer (SP)
|
100% |
5700
7.33 IPS |
|
|
Style Transfer (HP)
|
100% |
8097
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
4258
5.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
537
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.4 IPS |
|
|
Text Classification (HP)
|
100% |
187
250.1 IPS |
|
|
Text Classification (Q)
|
97% |
194
259.8 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
100% |
464
8.00 IPS |
|
|
Machine Translation (Q)
|
70% |
221
4.14 IPS |
