VAIO Corporation VJPG11C11N
Geekbench AI Score
769
Single Precision Score
779
Half Precision Score
499
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | PC-FREEDOM |
| Upload Date | January 02 2026 02:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | VAIO Corporation VJPG11C11N |
| Motherboard | VAIO Corporation VV002465A |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
99% |
355
66.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
411
6.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
755
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
827
0.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
793
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
85% |
300
24.2 IPS |
|
|
Face Detection (SP)
|
100% |
1179
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
597
7.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
983
7.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
1008
7.77 IPS |
|
|
Depth Estimation (Q)
|
63% |
644
6.04 IPS |
|
|
Style Transfer (SP)
|
100% |
1437
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
1435
1.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1763
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
549
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
314
421.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
58% |
240
5.64 IPS |
