LENOVO 82TD
Geekbench AI Score
2599
Single Precision Score
3749
Half Precision Score
5785
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | April 06 2025 11:07 AM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (HP)
|
100% |
2568
477.5 IPS |
|
|
Image Classification (Q)
|
99% |
3878
723.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3850
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4603
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4230
4.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
3083
3.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
12647
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
98% |
2289
182.1 IPS |
|
|
Object Detection (Q)
|
90% |
4212
336.8 IPS |
|
|
Face Detection (SP)
|
100% |
4878
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
7497
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
9759
116.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4909
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8254
63.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11190
87.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10937
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17283
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28922
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3199
118.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6525
241.6 IPS |
|
|
Text Classification (SP)
|
71% |
1138
1.65 KIPS |
|
|
Text Classification (HP)
|
71% |
1354
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
1302
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1701
29.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1647
28.4 IPS |
