Dell Inc. Precision T7600
Geekbench AI Score
766
Single Precision Score
775
Half Precision Score
1859
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | binary_ronin |
| Upload Date | August 01 2025 08:44 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2687W 0 @ 3.10GHz |
| 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% |
756
140.5 IPS |
|
|
Image Classification (HP)
|
100% |
756
140.5 IPS |
|
|
Image Classification (Q)
|
100% |
1331
247.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1565
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1355
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1353
1.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
2953
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (Q)
|
87% |
1272
102.0 IPS |
|
|
Face Detection (SP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
3711
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2497
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2470
19.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3379
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20
0.03 IPS |
|
|
Style Transfer (HP)
|
100% |
20
0.03 IPS |
|
|
Style Transfer (Q)
|
98% |
8765
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1786
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
560
747.0 IPS |
|
|
Text Classification (HP)
|
100% |
626
835.8 IPS |
|
|
Text Classification (Q)
|
91% |
460
618.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
100% |
701
12.1 IPS |
