TOSHIBA SATELLITE L70-B
Geekbench AI Score
478
Single Precision Score
199
Half Precision Score
510
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 07:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-5200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | TOSHIBA SATELLITE L70-B |
| Motherboard | TOSHIBA Portable PC |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (Q)
|
97% |
389
72.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
329
5.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
845
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
687
0.80 IPS |
|
|
Pose Estimation (Q)
|
87% |
820
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.63 IPS |
|
|
Object Detection (Q)
|
86% |
288
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (HP)
|
100% |
108
1.28 IPS |
|
|
Face Detection (Q)
|
96% |
720
8.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
761
5.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
266
2.05 IPS |
|
|
Depth Estimation (Q)
|
76% |
762
6.14 IPS |
|
|
Style Transfer (SP)
|
100% |
1925
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1297
1.67 IPS |
|
|
Style Transfer (Q)
|
87% |
1868
2.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
367
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
472
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
341
454.5 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.6 IPS |
|
|
Text Classification (Q)
|
97% |
186
248.6 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (Q)
|
60% |
446
9.95 IPS |
