Dell Inc. Precision Tower 5810
Geekbench AI Score
3997
Single Precision Score
3935
Half Precision Score
4149
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KrzysztofBasiura |
| Upload Date | September 18 2025 08:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 5810 |
| Motherboard | Dell Inc. 0K240Y |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v4 |
| Topology | 1 Processor, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2442
454.2 IPS |
|
|
Image Classification (HP)
|
100% |
2390
444.5 IPS |
|
|
Image Classification (Q)
|
100% |
3004
558.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3281
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3293
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4277
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5598
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5605
6.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
9801
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (Q)
|
87% |
3272
262.4 IPS |
|
|
Face Detection (SP)
|
100% |
7326
87.1 IPS |
|
|
Face Detection (HP)
|
100% |
7580
90.1 IPS |
|
|
Face Detection (Q)
|
97% |
9736
116.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6760
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6653
51.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
9210
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17209
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16733
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26601
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3149
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3193
117.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5207
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
2050
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (Q)
|
91% |
177
237.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1671
28.8 IPS |
