TOSHIBA Satellite S55t-C
Geekbench AI Score
1198
Single Precision Score
1867
Half Precision Score
1788
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 17 2026 05:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 530 (iGPU) |
| 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% |
820
152.5 IPS |
|
|
Image Classification (HP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (Q)
|
100% |
1213
225.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1506
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1544
1.80 IPS |
|
|
Pose Estimation (HP)
|
99% |
1465
1.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
1951
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
99% |
1296
103.1 IPS |
|
|
Object Detection (Q)
|
88% |
1226
98.3 IPS |
|
|
Face Detection (SP)
|
100% |
2030
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (Q)
|
97% |
3289
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2389
18.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4216
32.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
3817
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5389
6.93 IPS |
|
|
Style Transfer (HP)
|
100% |
7719
9.92 IPS |
|
|
Style Transfer (Q)
|
98% |
6903
8.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1729
64.0 IPS |
|
|
Text Classification (SP)
|
71% |
368
533.0 IPS |
|
|
Text Classification (HP)
|
71% |
609
880.4 IPS |
|
|
Text Classification (Q)
|
92% |
477
640.7 IPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1080
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1073
18.5 IPS |
