Dell Inc. Precision 3630 Tower
Geekbench AI Score
3275
Single Precision Score
3259
Half Precision Score
4833
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | December 12 2024 10:10 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Dell Inc. Precision 3630 Tower |
| Motherboard | Dell Inc. 0NNNCT |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2123
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (Q)
|
100% |
2790
518.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3328
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4343
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4387
5.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
8131
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
100% |
2013
159.7 IPS |
|
|
Object Detection (Q)
|
87% |
3278
262.9 IPS |
|
|
Face Detection (SP)
|
100% |
3889
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
9048
107.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5450
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5745
44.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
8793
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12703
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12697
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24060
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2561
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2642
97.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5100
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
1686
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1699
2.27 KIPS |
|
|
Text Classification (Q)
|
91% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3025
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2990
51.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3010
51.9 IPS |
