LENOVO 82TL
Geekbench AI Score
3198
Single Precision Score
5011
Half Precision Score
2144
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 03 2025 06:35 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82TL |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800HS Creator Edition |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
1654
307.6 IPS |
|
|
Image Classification (Q)
|
100% |
728
135.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1037
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13685
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
43117
50.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
21853
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1236
98.1 IPS |
|
|
Object Detection (HP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (Q)
|
89% |
886
70.9 IPS |
|
|
Face Detection (SP)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (Q)
|
97% |
1290
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5770
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11204
86.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
4529
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31645
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58675
75.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18391
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5432
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9413
347.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3023
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
1230
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1647
2.20 KIPS |
|
|
Text Classification (Q)
|
97% |
858
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (Q)
|
60% |
504
11.2 IPS |
