Dell Inc. Precision T7600
Geekbench AI Score
1353
Single Precision Score
659
Half Precision Score
1439
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | binary_ronin |
| Upload Date | August 01 2025 06:36 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2687W |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision T7600 |
| Motherboard | Dell Inc. 0VHRW1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2687W |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1057
196.6 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
96% |
1298
242.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
1499
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2136
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
2784
3.29 IPS |
|
|
Object Detection (SP)
|
100% |
1003
79.5 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
58% |
872
95.3 IPS |
|
|
Face Detection (SP)
|
100% |
2294
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
728
8.65 IPS |
|
|
Face Detection (Q)
|
96% |
2482
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2951
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1011
7.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
2502
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5305
6.82 IPS |
|
|
Style Transfer (HP)
|
100% |
4809
6.18 IPS |
|
|
Style Transfer (Q)
|
87% |
4188
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1260
46.7 IPS |
|
|
Text Classification (SP)
|
100% |
595
794.2 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.1 IPS |
|
|
Text Classification (Q)
|
97% |
259
346.4 IPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
68% |
952
18.4 IPS |
