Dell Inc. Precision 3680
Geekbench AI Score
1657
Single Precision Score
1690
Half Precision Score
1128
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 08:12 PM |
| Views | 4 |
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 3680 |
| Motherboard | Dell Inc. 0VTKY7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (HP)
|
100% |
731
135.9 IPS |
|
|
Image Classification (Q)
|
100% |
619
115.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1132
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5234
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
5728
6.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
3513
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (HP)
|
98% |
680
54.1 IPS |
|
|
Object Detection (Q)
|
86% |
677
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1217
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3063
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3354
25.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2264
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10712
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14403
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7963
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2484
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
924
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
422
563.2 IPS |
|
|
Text Classification (Q)
|
97% |
393
526.8 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
70% |
371
6.96 IPS |
