LENOVO 3354DWG
Geekbench AI Score
326
Single Precision Score
200
Half Precision Score
292
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | vladuna |
| Upload Date | February 21 2025 07:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-3120M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 3354DWG |
| Motherboard | LENOVO 3354DWG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3120M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (HP)
|
100% |
86
16.1 IPS |
|
|
Image Classification (Q)
|
96% |
176
32.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
187
3.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
379
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
307
0.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
390
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.87 IPS |
|
|
Object Detection (Q)
|
58% |
148
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
593
7.04 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (Q)
|
96% |
523
6.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
305
2.35 IPS |
|
|
Depth Estimation (Q)
|
78% |
481
3.83 IPS |
|
|
Style Transfer (SP)
|
100% |
974
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
814
1.05 IPS |
|
|
Style Transfer (Q)
|
87% |
954
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
177
6.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
226
8.37 IPS |
|
|
Text Classification (SP)
|
100% |
198
263.7 IPS |
|
|
Text Classification (HP)
|
100% |
128
171.0 IPS |
|
|
Text Classification (Q)
|
97% |
134
179.9 IPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
156
2.69 IPS |
|
|
Machine Translation (Q)
|
68% |
337
6.52 IPS |
