Dell Inc. Precision WorkStation T3500
Geekbench AI Score
561
Single Precision Score
323
Half Precision Score
763
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | vladuna |
| Upload Date | February 01 2026 04:31 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon X5670 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision WorkStation T3500 |
| Motherboard | Dell Inc. 09KPNV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5670 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.93 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
362
67.4 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.6 IPS |
|
|
Image Classification (Q)
|
96% |
669
124.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
469
7.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
676
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
667
0.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
1257
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
58% |
463
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
991
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.14 IPS |
|
|
Face Detection (Q)
|
96% |
1379
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
804
6.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
470
3.62 IPS |
|
|
Depth Estimation (Q)
|
78% |
1341
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1723
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
1854
2.38 IPS |
|
|
Style Transfer (Q)
|
87% |
2612
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
416
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
499
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
389
519.2 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.5 IPS |
|
|
Text Classification (Q)
|
97% |
215
288.7 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.61 IPS |
|
|
Machine Translation (Q)
|
68% |
710
13.7 IPS |
