LENOVO 82TD
Geekbench AI Score
4235
Single Precision Score
1509
Half Precision Score
6840
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | April 06 2025 10:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3259
606.1 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.8 IPS |
|
|
Image Classification (Q)
|
99% |
6085
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3245
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7224
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4098
4.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
25260
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
3161
250.7 IPS |
|
|
Object Detection (HP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (Q)
|
86% |
6130
492.7 IPS |
|
|
Face Detection (SP)
|
100% |
8510
101.1 IPS |
|
|
Face Detection (HP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
9270
110.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9378
72.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2063
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15151
120.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17447
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10154
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24069
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2994
110.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4349
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
700
934.0 IPS |
|
|
Text Classification (Q)
|
97% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3252
65.4 IPS |
