LENOVO 82SA
Geekbench AI Score
12384
Single Precision Score
22134
Half Precision Score
8543
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bezpieczny123 |
| Upload Date | October 05 2025 11:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82SA |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4772
887.4 IPS |
|
|
Image Classification (HP)
|
99% |
9102
1.70 KIPS |
|
|
Image Classification (Q)
|
99% |
3846
717.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8251
133.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12870
208.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7148
116.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
62304
72.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
175512
204.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
51586
60.4 IPS |
|
|
Object Detection (SP)
|
100% |
5766
457.4 IPS |
|
|
Object Detection (HP)
|
100% |
10217
810.4 IPS |
|
|
Object Detection (Q)
|
85% |
4548
366.2 IPS |
|
|
Face Detection (SP)
|
100% |
14524
172.6 IPS |
|
|
Face Detection (HP)
|
100% |
25233
299.8 IPS |
|
|
Face Detection (Q)
|
97% |
11878
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
31484
242.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
60886
470.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
22614
181.0 IPS |
|
|
Style Transfer (SP)
|
100% |
102292
131.5 IPS |
|
|
Style Transfer (HP)
|
100% |
280573
360.7 IPS |
|
|
Style Transfer (Q)
|
98% |
86402
111.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18133
669.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31667
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12108
448.3 IPS |
|
|
Text Classification (SP)
|
100% |
2509
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
3238
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
980
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3041
52.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1167
21.9 IPS |
