TOSHIBA dynabook U63/M
Geekbench AI Score
728
Single Precision Score
361
Half Precision Score
1030
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 12:39 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% |
437
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.9 IPS |
|
|
Image Classification (Q)
|
96% |
622
116.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
697
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
853
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
621
0.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
1364
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
58% |
458
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
285
3.39 IPS |
|
|
Face Detection (Q)
|
96% |
1005
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
605
4.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
2437
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3321
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
2356
3.03 IPS |
|
|
Style Transfer (Q)
|
87% |
4175
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
687
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1020
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
620
827.5 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.1 IPS |
|
|
Text Classification (Q)
|
97% |
508
680.3 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (Q)
|
68% |
945
18.3 IPS |
