Dell Inc. Precision WorkStation T3500
Geekbench AI Score
421
Single Precision Score
282
Half Precision Score
718
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | vladuna |
| Upload Date | July 21 2025 03:05 PM |
| Views | 7 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (Q)
|
96% |
611
114.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
429
6.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
493
0.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
1117
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.1 IPS |
|
|
Object Detection (Q)
|
58% |
435
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
341
4.05 IPS |
|
|
Face Detection (Q)
|
96% |
1136
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
694
5.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
394
3.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
1227
9.77 IPS |
|
|
Style Transfer (SP)
|
100% |
1348
1.73 IPS |
|
|
Style Transfer (HP)
|
100% |
1671
2.15 IPS |
|
|
Style Transfer (Q)
|
87% |
2522
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
523
19.4 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.8 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.7 IPS |
|
|
Text Classification (Q)
|
97% |
224
299.7 IPS |
|
|
Machine Translation (SP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
68% |
702
13.6 IPS |
