Dell Inc. Precision Tower 3620
Geekbench AI Score
2319
Single Precision Score
2314
Half Precision Score
3300
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | July 22 2025 05:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1245 v5 @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision Tower 3620 |
| Motherboard | Dell Inc. 0MWYPT |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1245 v5 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
1408
261.9 IPS |
|
|
Image Classification (Q)
|
100% |
2016
374.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2433
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2885
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2888
3.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
5225
6.13 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
100% |
1343
106.6 IPS |
|
|
Object Detection (Q)
|
87% |
2156
172.9 IPS |
|
|
Face Detection (SP)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
5768
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3641
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3603
27.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5907
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8283
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8240
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14821
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3042
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1750
2.34 KIPS |
|
|
Text Classification (Q)
|
91% |
762
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2373
40.9 IPS |
