Dell Inc. Precision WorkStation T3500
Geekbench AI Score
499
Single Precision Score
311
Half Precision Score
766
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | vladuna |
| Upload Date | June 21 2025 12:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon X5690 |
| 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 X5690 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
249
46.4 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.4 IPS |
|
|
Image Classification (Q)
|
96% |
555
103.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
397
6.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
513
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
615
0.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
1270
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (Q)
|
58% |
469
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
411
4.89 IPS |
|
|
Face Detection (Q)
|
96% |
1387
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
930
7.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
1466
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1915
2.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1929
2.48 IPS |
|
|
Style Transfer (Q)
|
87% |
2675
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
610
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
358
478.3 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.6 IPS |
|
|
Text Classification (Q)
|
97% |
227
304.1 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
68% |
710
13.7 IPS |
