Dell Inc. Precision Tower 5810
Geekbench AI Score
1995
Single Precision Score
2010
Half Precision Score
2260
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | December 12 2024 10:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-1620 v3 @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Dell Inc. Precision Tower 5810 |
| Motherboard | Dell Inc. 0K240Y |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1620 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1001
186.2 IPS |
|
|
Image Classification (HP)
|
100% |
1220
226.9 IPS |
|
|
Image Classification (Q)
|
100% |
1437
267.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1461
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2468
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2469
2.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
3045
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
1235
98.0 IPS |
|
|
Object Detection (HP)
|
100% |
1182
93.7 IPS |
|
|
Object Detection (Q)
|
87% |
1366
109.5 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
4015
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3213
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3222
24.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
3530
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7341
9.44 IPS |
|
|
Style Transfer (HP)
|
100% |
7306
9.39 IPS |
|
|
Style Transfer (Q)
|
98% |
8736
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1807
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
1283
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (Q)
|
91% |
918
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1945
33.5 IPS |
