Dell Inc. Precision T7610
Geekbench AI Score
2015
Single Precision Score
710
Half Precision Score
1814
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | teotwawk |
| Upload Date | April 03 2025 06:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT LTSC (64-bit) |
| Model | Dell Inc. Precision T7610 |
| Motherboard | Dell Inc. 0NK70N |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v2 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1180
219.5 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (Q)
|
96% |
1885
352.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4861
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
3931
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
58% |
1424
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
4710
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
749
8.89 IPS |
|
|
Face Detection (Q)
|
96% |
3512
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5316
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1045
8.05 IPS |
|
|
Depth Estimation (Q)
|
78% |
3344
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10455
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7404
9.52 IPS |
|
|
Style Transfer (Q)
|
87% |
5769
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1055
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1082
40.1 IPS |
|
|
Text Classification (SP)
|
100% |
594
792.4 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.6 IPS |
|
|
Text Classification (Q)
|
97% |
547
732.3 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
68% |
1193
23.1 IPS |
