TOSHIBA Satellite S55-A
Geekbench AI Score
680
Single Precision Score
685
Half Precision Score
471
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | JunkIce |
| Upload Date | July 29 2025 10:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-4700MQ |
| 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% |
479
89.1 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.4 IPS |
|
|
Image Classification (Q)
|
99% |
307
57.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
354
5.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
799
0.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
779
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
85% |
338
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
870
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
736
8.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
822
6.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
821
6.32 IPS |
|
|
Depth Estimation (Q)
|
63% |
636
5.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1183
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1188
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1638
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
634
845.6 IPS |
|
|
Text Classification (HP)
|
100% |
639
853.5 IPS |
|
|
Text Classification (Q)
|
92% |
241
323.3 IPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
58% |
241
5.66 IPS |
