LTD Delovoy Office P2315
Geekbench AI Score
1075
Single Precision Score
351
Half Precision Score
1325
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Raznep |
| Upload Date | August 16 2024 12:03 PM |
| Views | 9 |
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% |
680
126.5 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.5 IPS |
|
|
Image Classification (Q)
|
97% |
1206
225.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
880
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1886
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1586
1.85 IPS |
|
|
Pose Estimation (Q)
|
87% |
4265
5.04 IPS |
|
|
Object Detection (SP)
|
100% |
671
53.2 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.41 IPS |
|
|
Object Detection (Q)
|
86% |
779
62.6 IPS |
|
|
Face Detection (SP)
|
100% |
823
9.78 IPS |
|
|
Face Detection (HP)
|
100% |
148
1.76 IPS |
|
|
Face Detection (Q)
|
96% |
1456
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2051
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
461
3.55 IPS |
|
|
Depth Estimation (Q)
|
76% |
2315
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4749
6.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3731
4.80 IPS |
|
|
Style Transfer (Q)
|
87% |
5770
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
912
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
757
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1316
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
336
447.9 IPS |
|
|
Text Classification (Q)
|
97% |
242
324.1 IPS |
|
|
Machine Translation (SP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
60% |
768
17.1 IPS |
