Dell Inc. Precision Tower 3620
Geekbench AI Score
1338
Single Precision Score
1368
Half Precision Score
996
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nachitron |
| Upload Date | May 27 2025 06:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro K620 |
| 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% |
517
96.1 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (Q)
|
99% |
446
83.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
549
8.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
4422
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4102
4.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
3820
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (HP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
83% |
541
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1115
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
866
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2281
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2302
17.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1853
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6926
8.90 IPS |
|
|
Style Transfer (HP)
|
100% |
6891
8.86 IPS |
|
|
Style Transfer (Q)
|
98% |
5853
7.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1929
71.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1394
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
549
732.4 IPS |
|
|
Text Classification (HP)
|
100% |
639
852.5 IPS |
|
|
Text Classification (Q)
|
97% |
319
427.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
70% |
459
8.61 IPS |
