IRU P2315 (Core i5 10400 - 2,9 ГГц) LTD Delovoy Office P2315
Geekbench AI Score
1123
Single Precision Score
367
Half Precision Score
1396
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Raznep |
| Upload Date | August 20 2024 05:40 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| 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% |
700
130.1 IPS |
|
|
Image Classification (HP)
|
100% |
82
15.2 IPS |
|
|
Image Classification (Q)
|
97% |
1290
240.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
858
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1894
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1562
1.82 IPS |
|
|
Pose Estimation (Q)
|
87% |
4687
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
746
59.1 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.75 IPS |
|
|
Object Detection (Q)
|
86% |
782
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
155
1.84 IPS |
|
|
Face Detection (Q)
|
96% |
1557
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2079
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
483
3.72 IPS |
|
|
Depth Estimation (Q)
|
76% |
2498
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4992
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3727
4.79 IPS |
|
|
Style Transfer (Q)
|
87% |
5903
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1433
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
357
477.2 IPS |
|
|
Text Classification (Q)
|
97% |
256
343.1 IPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
60% |
828
18.5 IPS |
