LENOVO 6475K36
Geekbench AI Score
105
Single Precision Score
104
Half Precision Score
295
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | March 26 2025 07:41 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM)2 Duo CPU P8400 @ 2.26GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 2016 (64-bit) |
| Model | LENOVO 6475K36 |
| Motherboard | LENOVO 6475K36 |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo P8400 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 6 |
| Base Frequency | 2.27 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
62
11.5 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.3 IPS |
|
|
Image Classification (Q)
|
100% |
200
37.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
75
1.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
75
1.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
214
3.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
99
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
99
0.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
410
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.54 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.55 IPS |
|
|
Object Detection (Q)
|
87% |
201
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
189
2.24 IPS |
|
|
Face Detection (HP)
|
100% |
189
2.25 IPS |
|
|
Face Detection (Q)
|
97% |
541
6.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
142
1.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
142
1.09 IPS |
|
|
Depth Estimation (Q)
|
81% |
488
3.86 IPS |
|
|
Style Transfer (SP)
|
100% |
292
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
292
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1324
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63
2.32 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
258
9.56 IPS |
|
|
Text Classification (SP)
|
100% |
117
155.8 IPS |
|
|
Text Classification (HP)
|
100% |
116
155.5 IPS |
|
|
Text Classification (Q)
|
91% |
145
194.5 IPS |
|
|
Machine Translation (SP)
|
100% |
111
1.91 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.89 IPS |
|
|
Machine Translation (Q)
|
100% |
111
1.90 IPS |
