LENOVO 82TD
Geekbench AI Score
2612
Single Precision Score
3751
Half Precision Score
5795
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | April 09 2025 12:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82TD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1561
290.3 IPS |
|
|
Image Classification (HP)
|
100% |
2588
481.2 IPS |
|
|
Image Classification (Q)
|
99% |
3948
736.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3868
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4621
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4237
4.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
3086
3.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
12673
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.7 IPS |
|
|
Object Detection (HP)
|
98% |
2298
182.9 IPS |
|
|
Object Detection (Q)
|
90% |
4237
338.8 IPS |
|
|
Face Detection (SP)
|
100% |
4924
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
7558
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
9758
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4924
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8323
64.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11223
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10970
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17272
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29014
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3210
118.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6512
241.2 IPS |
|
|
Text Classification (SP)
|
71% |
1158
1.67 KIPS |
|
|
Text Classification (HP)
|
71% |
1350
1.95 KIPS |
|
|
Text Classification (Q)
|
92% |
1280
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1100
19.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1650
28.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1647
28.4 IPS |
