TOSHIBA Satellite S55-A
Geekbench AI Score
1502
Single Precision Score
1502
Half Precision Score
1574
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | JunkIce |
| Upload Date | July 29 2025 11:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4700MQ CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | TOSHIBA Satellite S55-A |
| Motherboard | TOSHIBA VG10S |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4700MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
877
163.2 IPS |
|
|
Image Classification (HP)
|
100% |
882
164.0 IPS |
|
|
Image Classification (Q)
|
100% |
1002
186.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1167
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1873
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1873
2.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
2100
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
881
69.9 IPS |
|
|
Object Detection (HP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (Q)
|
87% |
1009
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1875
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
2786
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2367
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2366
18.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
2611
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5366
6.90 IPS |
|
|
Style Transfer (HP)
|
100% |
5364
6.90 IPS |
|
|
Style Transfer (Q)
|
98% |
6043
7.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1268
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (Q)
|
91% |
473
636.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1432
24.7 IPS |
