Dell Inc. Precision 3280 Compact
Geekbench AI Score
15596
Single Precision Score
27277
Half Precision Score
12131
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | khdhmnyu |
| Upload Date | April 05 2025 08:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Precision 3280 Compact |
| Motherboard | Dell Inc. 0H1DC6 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6419
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
11687
2.18 KIPS |
|
|
Image Classification (Q)
|
99% |
5967
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11449
185.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16202
262.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10048
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
64681
75.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
209128
244.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
57460
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
8038
637.6 IPS |
|
|
Object Detection (HP)
|
100% |
14308
1.13 KIPS |
|
|
Object Detection (Q)
|
84% |
6763
545.5 IPS |
|
|
Face Detection (SP)
|
100% |
18389
218.5 IPS |
|
|
Face Detection (HP)
|
100% |
32215
382.8 IPS |
|
|
Face Detection (Q)
|
97% |
16655
198.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
35376
272.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
70483
543.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
29632
237.1 IPS |
|
|
Style Transfer (SP)
|
100% |
115319
148.2 IPS |
|
|
Style Transfer (HP)
|
100% |
294429
378.5 IPS |
|
|
Style Transfer (Q)
|
98% |
100812
130.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24940
920.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43121
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18023
667.4 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
3595
4.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1875
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1763
33.1 IPS |
