Dell Inc. Precision 3240 Compact
Geekbench AI Score
2585
Single Precision Score
647
Half Precision Score
2592
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 11:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-1270 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 3240 Compact |
| Motherboard | Dell Inc. 01NP3N |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-1270 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
113
20.9 IPS |
|
|
Image Classification (Q)
|
97% |
2100
391.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
1765
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5495
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4293
5.01 IPS |
|
|
Pose Estimation (Q)
|
87% |
9447
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
86% |
1517
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
1970
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
230
2.74 IPS |
|
|
Face Detection (Q)
|
96% |
2959
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5748
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
763
5.88 IPS |
|
|
Depth Estimation (Q)
|
76% |
5031
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12992
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10123
13.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12831
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2201
81.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2489
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
1432
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
564
752.2 IPS |
|
|
Text Classification (Q)
|
97% |
381
510.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
60% |
1424
31.8 IPS |
