LENOVO 82TL
Geekbench AI Score
3347
Single Precision Score
5708
Half Precision Score
2800
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jruhe |
| Upload Date | October 05 2025 07:24 PM |
| Views | 10 |
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 |
| Power Plan | Ausbalanciert |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1060
197.1 IPS |
|
|
Image Classification (HP)
|
100% |
2857
531.3 IPS |
|
|
Image Classification (Q)
|
100% |
1560
290.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2016
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23099
27.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
44863
52.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
23126
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
960
76.2 IPS |
|
|
Object Detection (HP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (Q)
|
87% |
902
72.5 IPS |
|
|
Face Detection (SP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (Q)
|
97% |
1645
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6546
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11809
91.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
4805
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32462
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60201
77.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18204
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5145
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9279
342.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3017
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1532
2.04 KIPS |
|
|
Text Classification (Q)
|
97% |
808
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1289
24.2 IPS |
