Dell Inc. Precision T3610
Geekbench AI Score
2651
Single Precision Score
2675
Half Precision Score
1953
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | LorisBOX |
| Upload Date | June 19 2025 08:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M2000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. Precision T3610 |
| Motherboard | Dell Inc. 09M8Y8 |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v2 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1062
197.5 IPS |
|
|
Image Classification (HP)
|
100% |
1073
199.6 IPS |
|
|
Image Classification (Q)
|
100% |
903
167.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1185
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8367
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
8105
9.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
7339
8.60 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (Q)
|
83% |
1104
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
2319
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
1890
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4808
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4869
37.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3894
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14245
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14573
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
12350
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2624
97.2 IPS |
|
|
Text Classification (SP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
539
722.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1694
29.3 IPS |
|
|
Machine Translation (Q)
|
70% |
728
13.6 IPS |
