Dell Inc. Precision T3610
Geekbench AI Score
14779
Single Precision Score
20557
Half Precision Score
10117
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | LorisBOX |
| Upload Date | February 06 2025 10:16 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 6000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. Precision T3610 |
| Motherboard | Dell Inc. 09M8Y8 |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v2 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5367
998.0 IPS |
|
|
Image Classification (HP)
|
100% |
6762
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
4142
770.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7490
121.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8234
133.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6245
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
115270
134.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
235368
274.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
91104
106.7 IPS |
|
|
Object Detection (SP)
|
100% |
7657
607.3 IPS |
|
|
Object Detection (HP)
|
100% |
10014
794.3 IPS |
|
|
Object Detection (Q)
|
85% |
5832
469.5 IPS |
|
|
Face Detection (SP)
|
100% |
16708
198.5 IPS |
|
|
Face Detection (HP)
|
100% |
21340
253.6 IPS |
|
|
Face Detection (Q)
|
97% |
13297
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44922
346.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
66100
509.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
28718
230.8 IPS |
|
|
Style Transfer (SP)
|
100% |
186295
239.5 IPS |
|
|
Style Transfer (HP)
|
100% |
380346
488.9 IPS |
|
|
Style Transfer (Q)
|
98% |
141901
183.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27620
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35102
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16122
597.0 IPS |
|
|
Text Classification (SP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2706
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
882
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2062
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1061
19.9 IPS |
