V14 NVIDIA Lenovo - 82NM LENOVO 82NM
Geekbench AI Score
2291
Single Precision Score
2291
Half Precision Score
1768
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | johnny_capivara |
| Upload Date | December 24 2025 09:09 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82NM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
865
160.8 IPS |
|
|
Image Classification (HP)
|
100% |
1217
226.4 IPS |
|
|
Image Classification (Q)
|
99% |
767
143.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1095
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
936
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9184
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5375
6.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
7794
9.13 IPS |
|
|
Object Detection (SP)
|
100% |
1027
81.5 IPS |
|
|
Object Detection (HP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (Q)
|
83% |
897
72.5 IPS |
|
|
Face Detection (SP)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
1600
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4218
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4504
34.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
3642
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16605
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10533
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
13763
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3551
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2682
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2529
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
532
713.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
70% |
554
10.4 IPS |
