Dell Inc. Precision 3680
Geekbench AI Score
36903
Single Precision Score
53695
Half Precision Score
27872
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | schiff6827 |
| Upload Date | January 05 2026 11:03 PM |
| Views | 4 |
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% |
13618
2.53 KIPS |
|
|
Image Classification (HP)
|
100% |
17453
3.25 KIPS |
|
|
Image Classification (Q)
|
100% |
11867
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26423
428.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
32391
525.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23891
388.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
327156
381.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
750811
876.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
267714
313.6 IPS |
|
|
Object Detection (SP)
|
100% |
18087
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
22439
1.78 KIPS |
|
|
Object Detection (Q)
|
84% |
15326
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
52479
623.6 IPS |
|
|
Face Detection (HP)
|
100% |
64507
766.5 IPS |
|
|
Face Detection (Q)
|
97% |
45338
540.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
91739
706.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
151285
1.17 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70433
564.1 IPS |
|
|
Style Transfer (SP)
|
100% |
466708
600.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1284318
1.65 KIPS |
|
|
Style Transfer (Q)
|
98% |
423668
546.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57932
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76592
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42121
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4395
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1936
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4782
82.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2205
41.4 IPS |
