Dell Inc. Precision 3280 Compact
Geekbench AI Score
20140
Single Precision Score
33836
Half Precision Score
15450
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | September 30 2025 11:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 SFF Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3280 Compact |
| Motherboard | Dell Inc. 0H1DC6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8441
1.57 KIPS |
|
|
Image Classification (HP)
|
99% |
14545
2.71 KIPS |
|
|
Image Classification (Q)
|
100% |
7577
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14708
238.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20447
331.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13194
214.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
90052
105.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
255450
298.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
78802
92.3 IPS |
|
|
Object Detection (SP)
|
100% |
9782
775.9 IPS |
|
|
Object Detection (HP)
|
100% |
18073
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
8242
663.5 IPS |
|
|
Face Detection (SP)
|
100% |
26043
309.4 IPS |
|
|
Face Detection (HP)
|
100% |
41090
488.2 IPS |
|
|
Face Detection (Q)
|
97% |
20684
246.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
43756
337.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85821
661.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
36599
292.2 IPS |
|
|
Style Transfer (SP)
|
100% |
169911
218.4 IPS |
|
|
Style Transfer (HP)
|
100% |
439205
564.6 IPS |
|
|
Style Transfer (Q)
|
98% |
148427
191.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36217
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49834
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27344
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3355
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
4190
5.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1972
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4430
76.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1970
37.0 IPS |
