TOSHIBA Satellite S55t-C
Geekbench AI Score
469
Single Precision Score
301
Half Precision Score
405
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | moba |
| Upload Date | March 17 2026 05:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
| 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% |
271
50.4 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (Q)
|
100% |
259
48.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
334
5.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
681
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
499
0.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
594
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
86% |
271
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.55 IPS |
|
|
Face Detection (HP)
|
100% |
385
4.57 IPS |
|
|
Face Detection (Q)
|
97% |
560
6.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
693
5.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
542
4.18 IPS |
|
|
Depth Estimation (Q)
|
77% |
686
5.49 IPS |
|
|
Style Transfer (SP)
|
100% |
1544
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1215
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1563
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
415
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
239
319.5 IPS |
|
|
Text Classification (HP)
|
100% |
136
181.9 IPS |
|
|
Text Classification (Q)
|
97% |
170
228.1 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.76 IPS |
|
|
Machine Translation (HP)
|
96% |
227
3.92 IPS |
|
|
Machine Translation (Q)
|
70% |
202
3.80 IPS |
