LENOVO 82TB
Geekbench AI Score
3175
Single Precision Score
1253
Half Precision Score
5505
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | erickdeoliveiraleal |
| Upload Date | June 22 2025 01:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82TB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.8 IPS |
|
|
Image Classification (Q)
|
99% |
4742
884.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2360
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4757
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3376
3.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
17027
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (Q)
|
86% |
4888
392.8 IPS |
|
|
Face Detection (SP)
|
100% |
6657
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
1438
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
7718
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6665
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1779
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12271
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12325
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8185
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20098
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2283
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3554
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
620
828.1 IPS |
|
|
Text Classification (Q)
|
97% |
1462
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2778
55.8 IPS |
