Dell Inc. Precision WorkStation T3500
Geekbench AI Score
270
Single Precision Score
185
Half Precision Score
422
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | vladuna |
| Upload Date | May 23 2025 01:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W3530 |
| 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 W3530 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 2.79 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
148
27.6 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (Q)
|
96% |
314
58.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
265
4.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
307
0.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
613
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.62 IPS |
|
|
Object Detection (Q)
|
58% |
225
24.6 IPS |
|
|
Face Detection (SP)
|
100% |
493
5.86 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
96% |
748
8.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
419
3.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
269
2.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
734
5.85 IPS |
|
|
Style Transfer (SP)
|
100% |
849
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
840
1.08 IPS |
|
|
Style Transfer (Q)
|
87% |
1385
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
181
6.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
314
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
189
251.7 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.2 IPS |
|
|
Text Classification (Q)
|
97% |
147
197.0 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
145
2.50 IPS |
|
|
Machine Translation (Q)
|
68% |
454
8.76 IPS |
