LENOVO 90VT0065US
Geekbench AI Score
2228
Single Precision Score
1096
Half Precision Score
3035
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bora4 |
| Upload Date | November 29 2024 01:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90VT0065US |
| Motherboard | LENOVO 333B |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
3029
565.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2533
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4881
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3499
4.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
17276
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (Q)
|
88% |
1770
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
1413
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
945
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
2262
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4954
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1614
12.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4656
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10482
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9143
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9779
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2240
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2354
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
589
786.2 IPS |
|
|
Text Classification (Q)
|
97% |
1464
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
60% |
797
17.8 IPS |
