[2012] Tiny PC: Lenovo ThinkCentre M72e [3264-S8G] LENOVO 3264S8G
Geekbench AI Score
405
Single Precision Score
254
Half Precision Score
386
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | April 04 2025 03:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-3220T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 3264S8G |
| Motherboard | LENOVO MAHOBAY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3220T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
96% |
268
50.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
254
4.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
421
0.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
501
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
58% |
196
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
308
3.66 IPS |
|
|
Face Detection (Q)
|
96% |
572
6.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
684
5.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
382
2.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
577
4.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1326
1.70 IPS |
|
|
Style Transfer (HP)
|
100% |
1090
1.40 IPS |
|
|
Style Transfer (Q)
|
87% |
1057
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
240
8.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
287
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.2 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.1 IPS |
|
|
Text Classification (Q)
|
97% |
298
399.2 IPS |
|
|
Machine Translation (SP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
68% |
374
7.22 IPS |
