LENOVO 81UH
Geekbench AI Score
1864
Single Precision Score
895
Half Precision Score
2929
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | techdificient |
| Upload Date | August 05 2025 02:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81UH |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1122
208.7 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.5 IPS |
|
|
Image Classification (Q)
|
96% |
2065
385.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
3002
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2937
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2596
3.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
5928
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
58% |
1680
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
2333
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
875
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
4369
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3775
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1203
9.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
5558
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8183
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5979
7.69 IPS |
|
|
Style Transfer (Q)
|
87% |
8838
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2481
91.9 IPS |
|
|
Text Classification (SP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
586
782.3 IPS |
|
|
Text Classification (Q)
|
97% |
887
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
68% |
1599
30.9 IPS |
