LENOVO 82XT
Geekbench AI Score
17131
Single Precision Score
29276
Half Precision Score
13635
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 10:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82XT |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6875
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11810
2.20 KIPS |
|
|
Image Classification (Q)
|
99% |
6299
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12676
205.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17882
289.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11352
184.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
83510
97.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
242231
282.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
77363
90.6 IPS |
|
|
Object Detection (SP)
|
100% |
8442
669.6 IPS |
|
|
Object Detection (HP)
|
100% |
15487
1.23 KIPS |
|
|
Object Detection (Q)
|
84% |
7494
604.4 IPS |
|
|
Face Detection (SP)
|
100% |
20951
248.9 IPS |
|
|
Face Detection (HP)
|
100% |
33272
395.3 IPS |
|
|
Face Detection (Q)
|
97% |
18632
222.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
40093
308.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
76768
591.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
33057
264.5 IPS |
|
|
Style Transfer (SP)
|
100% |
129025
165.9 IPS |
|
|
Style Transfer (HP)
|
100% |
336214
432.2 IPS |
|
|
Style Transfer (Q)
|
98% |
122086
157.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27209
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45391
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20806
770.4 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
99% |
3401
4.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1793
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4101
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1911
35.8 IPS |
