TOSHIBA SATELLITE L755
Geekbench AI Score
282
Single Precision Score
161
Half Precision Score
277
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Cifra45 |
| Upload Date | March 07 2025 08:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2630QM |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | TOSHIBA SATELLITE L755 |
| Motherboard | Intel Corp. Base Board Product Name |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2630QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
47
8.74 IPS |
|
|
Image Classification (Q)
|
96% |
141
26.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
73
1.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
113
1.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
263
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
272
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
53
4.23 IPS |
|
|
Object Detection (Q)
|
58% |
99
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
416
4.95 IPS |
|
|
Face Detection (HP)
|
100% |
150
1.79 IPS |
|
|
Face Detection (Q)
|
96% |
316
3.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
361
2.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
161
1.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
319
2.54 IPS |
|
|
Style Transfer (SP)
|
100% |
683
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1418
1.82 IPS |
|
|
Style Transfer (Q)
|
87% |
1771
2.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
423
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.0 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.4 IPS |
|
|
Text Classification (Q)
|
97% |
169
226.3 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
100% |
180
3.09 IPS |
|
|
Machine Translation (Q)
|
68% |
499
9.63 IPS |
