LENOVO 82TD
Geekbench AI Score
5297
Single Precision Score
5490
Half Precision Score
11840
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | February 02 2025 12:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900HX |
| 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% |
3376
627.9 IPS |
|
|
Image Classification (HP)
|
100% |
3579
665.6 IPS |
|
|
Image Classification (Q)
|
100% |
7421
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3044
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4386
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7793
126.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7129
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
7119
8.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
25706
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (HP)
|
100% |
3408
270.3 IPS |
|
|
Object Detection (Q)
|
88% |
8152
653.5 IPS |
|
|
Face Detection (SP)
|
100% |
9139
108.6 IPS |
|
|
Face Detection (HP)
|
100% |
6071
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
19651
233.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9140
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9316
71.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
21267
165.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20350
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20478
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39957
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2972
109.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13417
496.9 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (Q)
|
92% |
4776
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4175
71.9 IPS |
