Sony Corporation VPCF248FJ
Geekbench AI Score
373
Single Precision Score
231
Half Precision Score
407
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 09 2025 03:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2670QM |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Sony Corporation VPCF248FJ |
| Motherboard | Sony Corporation VAIO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2670QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
262
48.6 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.1 IPS |
|
|
Image Classification (Q)
|
96% |
311
58.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
335
5.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
407
0.47 IPS |
|
|
Pose Estimation (Q)
|
86% |
581
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.44 IPS |
|
|
Object Detection (Q)
|
58% |
210
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
662
7.87 IPS |
|
|
Face Detection (HP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (Q)
|
96% |
665
7.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
575
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
331
2.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
665
5.30 IPS |
|
|
Style Transfer (SP)
|
100% |
1197
1.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1045
1.34 IPS |
|
|
Style Transfer (Q)
|
87% |
1335
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
239
8.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
212
7.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
321
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.0 IPS |
|
|
Text Classification (HP)
|
100% |
136
181.6 IPS |
|
|
Text Classification (Q)
|
97% |
128
171.5 IPS |
|
|
Machine Translation (SP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (HP)
|
100% |
166
2.86 IPS |
|
|
Machine Translation (Q)
|
68% |
412
7.97 IPS |
