LENOVO 82TL
Geekbench AI Score
4676
Single Precision Score
6016
Half Precision Score
3547
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 05:05 PM |
| Views | 2 |
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% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (Q)
|
100% |
1449
269.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2456
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16467
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31096
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14728
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1877
148.9 IPS |
|
|
Object Detection (HP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (Q)
|
89% |
1518
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
6188
73.5 IPS |
|
|
Face Detection (Q)
|
97% |
3374
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10767
82.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13553
104.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
8233
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33259
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48886
62.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28501
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7316
270.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10814
399.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5488
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
1341
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1680
2.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1017
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2281
39.3 IPS |
|
|
Machine Translation (Q)
|
60% |
898
20.0 IPS |
