[2012] Tiny PC: Lenovo ThinkCentre M72e [3264-S8G] LENOVO 3264S8G
Geekbench AI Score
322
Single Precision Score
318
Half Precision Score
470
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | April 04 2025 03:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-3220T CPU @ 2.80GHz |
| 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% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
100% |
309
57.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
358
5.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
621
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
87% |
314
25.2 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.47 IPS |
|
|
Face Detection (HP)
|
100% |
542
6.44 IPS |
|
|
Face Detection (Q)
|
97% |
857
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
551
4.24 IPS |
|
|
Depth Estimation (Q)
|
81% |
788
6.22 IPS |
|
|
Style Transfer (SP)
|
100% |
874
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
874
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
1862
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
251
9.29 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
379
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
319
426.3 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.4 IPS |
|
|
Text Classification (Q)
|
91% |
188
252.3 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.28 IPS |
|
|
Machine Translation (Q)
|
100% |
277
4.77 IPS |
