Dell Inc. Precision 3680
Geekbench AI Score
1414
Single Precision Score
1419
Half Precision Score
934
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | schiff6827 |
| Upload Date | January 05 2026 03:22 PM |
| Views | 9 |
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 | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
620
115.2 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.8 IPS |
|
|
Image Classification (Q)
|
100% |
531
98.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
641
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4111
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4489
5.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2787
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (HP)
|
98% |
560
44.5 IPS |
|
|
Object Detection (Q)
|
86% |
571
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
999
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2493
19.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2709
20.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
1843
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8759
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11716
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
6461
8.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
788
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
375
499.9 IPS |
|
|
Text Classification (Q)
|
97% |
330
441.8 IPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.48 IPS |
|
|
Machine Translation (Q)
|
70% |
302
5.67 IPS |
