LENOVO 4286CTO
Geekbench AI Score
309
Single Precision Score
205
Half Precision Score
312
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 04 2025 12:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2640M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | LENOVO 4286CTO |
| Motherboard | LENOVO 4286CTO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2640M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
185
34.5 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
96% |
239
44.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
191
3.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
399
0.47 IPS |
|
|
Pose Estimation (Q)
|
86% |
417
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.6 IPS |
|
|
Object Detection (Q)
|
58% |
194
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (HP)
|
100% |
256
3.04 IPS |
|
|
Face Detection (Q)
|
96% |
472
5.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
412
3.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
253
1.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
459
3.65 IPS |
|
|
Style Transfer (SP)
|
100% |
807
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (Q)
|
87% |
893
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
173
6.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
224
8.31 IPS |
|
|
Text Classification (SP)
|
100% |
172
230.1 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.5 IPS |
|
|
Text Classification (Q)
|
97% |
127
169.9 IPS |
|
|
Machine Translation (SP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (Q)
|
68% |
443
8.55 IPS |
