TOSHIBA dynabook Satellite B554/K
Geekbench AI Score
990
Single Precision Score
503
Half Precision Score
1104
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 11:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4712MQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | TOSHIBA dynabook Satellite B554/K |
| Motherboard | TOSHIBA dynabook Satellite B554/K |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4712MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
711
132.3 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (Q)
|
96% |
783
146.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
800
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1477
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1240
1.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
1688
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
58% |
587
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
1392
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
542
6.44 IPS |
|
|
Face Detection (Q)
|
96% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1848
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
732
5.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
1767
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3707
4.77 IPS |
|
|
Style Transfer (HP)
|
100% |
2575
3.31 IPS |
|
|
Style Transfer (Q)
|
87% |
3716
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
684
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
890
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
600
800.3 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.8 IPS |
|
|
Text Classification (Q)
|
97% |
507
679.2 IPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
68% |
806
15.6 IPS |
