LENOVO 20298
Geekbench AI Score
611
Single Precision Score
612
Half Precision Score
635
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 06 2025 11:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-4010U CPU @ 1.70GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | LENOVO 20298 |
| Motherboard | LENOVO Lenovo IdeaPad S510p |
| CPU Information | |
|---|---|
| Name | Intel Core i3-4010U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.7 IPS |
|
|
Image Classification (Q)
|
100% |
376
70.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
432
7.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
664
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
668
0.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
767
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
87% |
385
30.8 IPS |
|
|
Face Detection (SP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
1063
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
898
6.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
866
6.67 IPS |
|
|
Depth Estimation (Q)
|
81% |
972
7.67 IPS |
|
|
Style Transfer (SP)
|
100% |
2005
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2002
2.57 IPS |
|
|
Style Transfer (Q)
|
98% |
2201
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
465
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
434
578.9 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.6 IPS |
|
|
Text Classification (Q)
|
91% |
280
376.5 IPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
100% |
759
13.1 IPS |
