Lenovo ThinkCentre M82 LENOVO 2929B1U
Geekbench AI Score
1084
Single Precision Score
1112
Half Precision Score
798
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | February 17 2026 01:57 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P400 |
| 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% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
100% |
197
36.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
8.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
524
8.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
4784
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3005
3.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
4039
4.73 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (Q)
|
83% |
269
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
572
6.79 IPS |
|
|
Face Detection (HP)
|
100% |
890
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
513
6.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1957
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1833
14.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1598
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8694
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5468
7.03 IPS |
|
|
Style Transfer (Q)
|
98% |
6978
9.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1927
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1270
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
576
769.0 IPS |
|
|
Text Classification (HP)
|
100% |
586
781.6 IPS |
|
|
Text Classification (Q)
|
97% |
321
430.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1042
18.0 IPS |
|
|
Machine Translation (Q)
|
70% |
404
7.58 IPS |
