TOSHIBA SATELLITE C50-A-19U
Geekbench AI Score
398
Single Precision Score
243
Half Precision Score
340
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 21 2025 09:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-3110M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | TOSHIBA SATELLITE C50-A-19U |
| Motherboard | Intel PT10F |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3110M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
96% |
235
43.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
213
3.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
462
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (Q)
|
58% |
172
18.8 IPS |
|
|
Face Detection (SP)
|
100% |
725
8.62 IPS |
|
|
Face Detection (HP)
|
100% |
336
3.99 IPS |
|
|
Face Detection (Q)
|
96% |
585
6.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
357
2.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
551
4.38 IPS |
|
|
Style Transfer (SP)
|
100% |
1206
1.55 IPS |
|
|
Style Transfer (HP)
|
100% |
984
1.27 IPS |
|
|
Style Transfer (Q)
|
87% |
1094
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
227
8.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
260
9.64 IPS |
|
|
Text Classification (SP)
|
100% |
241
321.8 IPS |
|
|
Text Classification (HP)
|
100% |
156
207.8 IPS |
|
|
Text Classification (Q)
|
97% |
153
204.9 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
187
3.23 IPS |
|
|
Machine Translation (Q)
|
68% |
380
7.34 IPS |
