LENOVO 82TD
Geekbench AI Score
5874
Single Precision Score
5543
Half Precision Score
12381
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | April 06 2025 11:01 AM |
| Views | 4 |
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% |
3447
641.0 IPS |
|
|
Image Classification (HP)
|
100% |
3683
684.8 IPS |
|
|
Image Classification (Q)
|
100% |
8076
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4471
72.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4755
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6794
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
6938
8.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
25805
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
3631
288.0 IPS |
|
|
Object Detection (HP)
|
100% |
3587
284.5 IPS |
|
|
Object Detection (Q)
|
88% |
8707
698.0 IPS |
|
|
Face Detection (SP)
|
100% |
9725
115.5 IPS |
|
|
Face Detection (HP)
|
100% |
9487
112.7 IPS |
|
|
Face Detection (Q)
|
100% |
20258
240.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9104
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9278
71.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
23041
179.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20263
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20291
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
72868
94.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4496
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4371
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13645
505.3 IPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (Q)
|
92% |
4642
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4836
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4556
78.5 IPS |
