TOSHIBA dynabook U63/M
Geekbench AI Score
694
Single Precision Score
318
Half Precision Score
926
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 12:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8350U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | TOSHIBA dynabook U63/M |
| Motherboard | TOSHIBA 20 PCBA 3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8350U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
863
160.6 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
96% |
1118
208.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
1134
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
2114
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
58% |
244
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
233
2.77 IPS |
|
|
Face Detection (Q)
|
96% |
934
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
976
7.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
1401
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1990
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1307
1.68 IPS |
|
|
Style Transfer (Q)
|
87% |
3505
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
394
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
397
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
720
26.7 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.3 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.2 IPS |
|
|
Text Classification (Q)
|
97% |
314
420.5 IPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (Q)
|
68% |
691
13.3 IPS |
