LENOVO 82K6
Geekbench AI Score
16345
Single Precision Score
26129
Half Precision Score
10843
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tobyg |
| Upload Date | February 03 2025 04:10 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82K6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Balance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6636
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
9786
1.83 KIPS |
|
|
Image Classification (Q)
|
100% |
4831
898.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10336
167.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14460
234.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8350
135.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
85249
99.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
244584
285.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
71327
83.6 IPS |
|
|
Object Detection (SP)
|
100% |
8816
699.3 IPS |
|
|
Object Detection (HP)
|
100% |
13212
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
6380
513.6 IPS |
|
|
Face Detection (SP)
|
100% |
19813
235.4 IPS |
|
|
Face Detection (HP)
|
100% |
29792
354.0 IPS |
|
|
Face Detection (Q)
|
97% |
14968
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43263
333.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77048
593.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
28915
231.6 IPS |
|
|
Style Transfer (SP)
|
100% |
143188
184.1 IPS |
|
|
Style Transfer (HP)
|
100% |
373009
479.5 IPS |
|
|
Style Transfer (Q)
|
98% |
117389
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27750
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37896
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16319
604.3 IPS |
|
|
Text Classification (SP)
|
100% |
2561
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
3266
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1232
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3027
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3062
52.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1199
22.5 IPS |
