Dell Inc. Precision 3680
Geekbench AI Score
35272
Single Precision Score
50651
Half Precision Score
26791
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | schiff6827 |
| Upload Date | January 05 2026 07:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition |
| 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% |
13065
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
16064
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
11122
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25771
417.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
31731
514.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23684
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
320111
373.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
729013
850.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
264702
310.1 IPS |
|
|
Object Detection (SP)
|
100% |
17349
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
21128
1.68 KIPS |
|
|
Object Detection (Q)
|
84% |
14765
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
49820
592.0 IPS |
|
|
Face Detection (HP)
|
100% |
61255
727.8 IPS |
|
|
Face Detection (Q)
|
97% |
44516
530.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
89764
691.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
143077
1.10 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66988
536.5 IPS |
|
|
Style Transfer (SP)
|
100% |
455175
585.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1241420
1.60 KIPS |
|
|
Style Transfer (Q)
|
98% |
411329
530.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55144
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73229
2.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41054
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1821
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4374
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4486
77.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2018
37.8 IPS |
