IRU P2315 (Core i5 10400 + UHD Graphics 630) LTD Delovoy Office P2315
Geekbench AI Score
866
Single Precision Score
1004
Half Precision Score
653
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Raznep |
| Upload Date | August 20 2024 06:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
346
64.3 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (Q)
|
100% |
332
61.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
433
7.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
2170
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3502
4.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
1892
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.4 IPS |
|
|
Object Detection (HP)
|
98% |
428
34.1 IPS |
|
|
Object Detection (Q)
|
89% |
379
30.3 IPS |
|
|
Face Detection (SP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (HP)
|
100% |
832
9.88 IPS |
|
|
Face Detection (Q)
|
97% |
521
6.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
1573
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1917
14.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
1240
9.98 IPS |
|
|
Style Transfer (SP)
|
100% |
5552
7.14 IPS |
|
|
Style Transfer (HP)
|
100% |
8372
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
4554
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
809
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
490
654.5 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.9 IPS |
|
|
Text Classification (Q)
|
97% |
277
371.6 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
60% |
210
4.68 IPS |
