Dell Inc. Precision 3280 Compact
Geekbench AI Score
1801
Single Precision Score
1839
Half Precision Score
1215
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | September 30 2025 11:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
768
142.9 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.3 IPS |
|
|
Image Classification (Q)
|
100% |
653
121.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
827
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5592
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6064
7.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
3732
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (HP)
|
98% |
740
58.9 IPS |
|
|
Object Detection (Q)
|
86% |
724
58.2 IPS |
|
|
Face Detection (SP)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
1944
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
1336
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3300
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3631
28.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2440
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11520
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15435
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8476
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2670
98.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
987
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
482
643.5 IPS |
|
|
Text Classification (Q)
|
97% |
439
587.8 IPS |
|
|
Machine Translation (SP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
70% |
402
7.53 IPS |
