TOSHIBA SATELLITE C70-B
Geekbench AI Score
752
Single Precision Score
765
Half Precision Score
898
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 03:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4210U CPU @ 1.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | TOSHIBA SATELLITE C70-B |
| Motherboard | TOSHIBA Portable PC |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4210U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
420
78.0 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.5 IPS |
|
|
Image Classification (Q)
|
100% |
527
98.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.90 IPS |
|
|
Image Segmentation (Q)
|
99% |
588
9.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
816
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
845
0.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
1094
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
87% |
542
43.5 IPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1488
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1111
8.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
1131
8.71 IPS |
|
|
Depth Estimation (Q)
|
81% |
1383
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2519
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2576
3.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3150
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
662
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
587
783.3 IPS |
|
|
Text Classification (HP)
|
100% |
592
789.5 IPS |
|
|
Text Classification (Q)
|
91% |
478
642.4 IPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.8 IPS |
|
|
Machine Translation (Q)
|
100% |
912
15.7 IPS |
