Lenovo ThinkCentre M82 LENOVO 2929B1U
Geekbench AI Score
900
Single Precision Score
499
Half Precision Score
925
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | February 17 2026 01:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 2929B1U |
| Motherboard | LENOVO MAHOBAY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
665
123.8 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.7 IPS |
|
|
Image Classification (Q)
|
96% |
510
95.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
807
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1157
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
911
1.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
1243
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
640
50.7 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (Q)
|
58% |
480
52.4 IPS |
|
|
Face Detection (SP)
|
100% |
1442
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (Q)
|
96% |
1385
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1546
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
731
5.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
1454
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2941
3.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2440
3.14 IPS |
|
|
Style Transfer (Q)
|
87% |
2829
3.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
608
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
715
26.5 IPS |
|
|
Text Classification (SP)
|
100% |
597
797.0 IPS |
|
|
Text Classification (HP)
|
100% |
314
418.5 IPS |
|
|
Text Classification (Q)
|
97% |
539
722.0 IPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (Q)
|
68% |
858
16.6 IPS |
