TOSHIBA Satellite S55-A
Geekbench AI Score
1061
Single Precision Score
364
Half Precision Score
1246
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | JunkIce |
| Upload Date | July 29 2025 10:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
648
120.5 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (Q)
|
94% |
911
170.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1871
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1449
1.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
1967
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
640
50.7 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.74 IPS |
|
|
Object Detection (Q)
|
58% |
666
72.8 IPS |
|
|
Face Detection (SP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (Q)
|
96% |
2354
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1963
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
510
3.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
2134
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4237
5.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3400
4.37 IPS |
|
|
Style Transfer (Q)
|
87% |
4110
5.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
701
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
825
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
275
367.3 IPS |
|
|
Text Classification (Q)
|
97% |
642
860.2 IPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.54 IPS |
|
|
Machine Translation (Q)
|
68% |
903
17.4 IPS |
