IRU P2315 (Core i5 10400 - 2,9 ГГц) LTD Delovoy Office P2315
Geekbench AI Score
1545
Single Precision Score
1560
Half Precision Score
2407
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Raznep |
| Upload Date | August 20 2024 06:38 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LTD Delovoy Office P2315 |
| Motherboard | IRU P231 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1057
196.6 IPS |
|
|
Image Classification (HP)
|
100% |
972
180.7 IPS |
|
|
Image Classification (Q)
|
100% |
1383
257.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1585
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1926
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1934
2.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
3744
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
968
76.8 IPS |
|
|
Object Detection (HP)
|
100% |
953
75.6 IPS |
|
|
Object Detection (Q)
|
87% |
1697
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
1791
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1800
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
4381
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2489
19.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
2749
21.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
4194
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5588
7.18 IPS |
|
|
Style Transfer (HP)
|
100% |
5639
7.25 IPS |
|
|
Style Transfer (Q)
|
98% |
10394
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2228
82.5 IPS |
|
|
Text Classification (SP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (Q)
|
91% |
762
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
90% |
1449
25.2 IPS |
