Dell Inc. Precision WorkStation T3500
Geekbench AI Score
363
Single Precision Score
363
Half Precision Score
711
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | jcpenni |
| Upload Date | December 20 2024 05:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5530 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision WorkStation T3500 |
| Motherboard | Dell Inc. 09KPNV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5530 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
100% |
486
90.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (Q)
|
99% |
564
9.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
1053
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
214
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
87% |
471
37.8 IPS |
|
|
Face Detection (SP)
|
100% |
686
8.15 IPS |
|
|
Face Detection (HP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (Q)
|
97% |
1316
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
562
4.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
556
4.29 IPS |
|
|
Depth Estimation (Q)
|
81% |
1202
9.49 IPS |
|
|
Style Transfer (SP)
|
100% |
1002
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1009
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3146
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
253
9.36 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
610
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.9 IPS |
|
|
Text Classification (HP)
|
100% |
243
323.8 IPS |
|
|
Text Classification (Q)
|
91% |
263
353.4 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (Q)
|
100% |
307
5.29 IPS |
