Dell Inc. PowerEdge T160
Geekbench AI Score
2681
Single Precision Score
1424
Half Precision Score
5468
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 04:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) E E-2434 |
| System Information | |
|---|---|
| Operating System | Windows Server 2025 Standard (64-bit) |
| Model | Dell Inc. PowerEdge T160 |
| Motherboard | Dell Inc. 0MV820 |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) E E-2434 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.5 IPS |
|
|
Image Classification (Q)
|
99% |
4271
796.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
990
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4790
77.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3618
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2926
3.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
11763
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
86% |
4013
322.5 IPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
6866
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4879
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2051
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10454
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9104
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6773
8.71 IPS |
|
|
Style Transfer (Q)
|
98% |
15324
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
1664
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2641
53.1 IPS |
