TOSHIBA Satellite S55t-C
Geekbench AI Score
1081
Single Precision Score
491
Half Precision Score
1599
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 17 2026 04:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700HQ |
| 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% |
831
154.6 IPS |
|
|
Image Classification (HP)
|
100% |
199
36.9 IPS |
|
|
Image Classification (Q)
|
96% |
1176
219.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
1512
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1134
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
889
1.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
1926
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
58% |
864
94.4 IPS |
|
|
Face Detection (SP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
605
7.19 IPS |
|
|
Face Detection (Q)
|
96% |
2583
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1804
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
651
5.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
2938
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3956
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
1870
2.40 IPS |
|
|
Style Transfer (Q)
|
87% |
5110
6.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
627
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1345
49.8 IPS |
|
|
Text Classification (SP)
|
100% |
745
994.6 IPS |
|
|
Text Classification (HP)
|
100% |
394
525.3 IPS |
|
|
Text Classification (Q)
|
97% |
631
845.3 IPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.76 IPS |
|
|
Machine Translation (Q)
|
68% |
1126
21.8 IPS |
