TOSHIBA Satellite S55t-C
Geekbench AI Score
1454
Single Precision Score
1425
Half Precision Score
2066
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 17 2026 05:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700HQ CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | TOSHIBA Satellite S55t-C |
| Motherboard | FF50 06F4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1006
187.1 IPS |
|
|
Image Classification (HP)
|
100% |
857
159.4 IPS |
|
|
Image Classification (Q)
|
100% |
1461
271.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1011
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1676
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1081
1.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
2100
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (Q)
|
87% |
1501
120.4 IPS |
|
|
Face Detection (SP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1978
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
3956
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2250
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2329
17.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
3498
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5143
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
5112
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9225
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1051
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1881
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1121
1.50 KIPS |
|
|
Text Classification (Q)
|
91% |
502
675.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1530
26.3 IPS |
