Dell Inc. Precision Tower 3620
Geekbench AI Score
1311
Single Precision Score
680
Half Precision Score
1636
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nachitron |
| Upload Date | May 27 2025 06:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1270 v5 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 3620 |
| Motherboard | Dell Inc. 09WH54 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1270 v5 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
957
177.9 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (Q)
|
96% |
1326
247.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (Q)
|
97% |
736
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1948
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1635
1.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
3588
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
970
76.9 IPS |
|
|
Object Detection (HP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (Q)
|
58% |
1076
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (Q)
|
96% |
3130
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2533
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
963
7.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
3953
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4943
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3877
4.98 IPS |
|
|
Style Transfer (Q)
|
87% |
6974
9.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1194
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
645
860.8 IPS |
|
|
Text Classification (HP)
|
100% |
401
534.6 IPS |
|
|
Text Classification (Q)
|
97% |
269
360.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
68% |
1318
25.5 IPS |
