Dell Inc. Precision 3680
Geekbench AI Score
36062
Single Precision Score
52915
Half Precision Score
27430
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | schiff6827 |
| Upload Date | January 05 2026 07:42 PM |
| Views | 5 |
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% |
12584
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
16058
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
11210
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26768
433.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
33187
538.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24855
404.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
314318
366.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
765963
893.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
263021
308.1 IPS |
|
|
Object Detection (SP)
|
100% |
18009
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
22159
1.76 KIPS |
|
|
Object Detection (Q)
|
84% |
14512
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
49839
592.2 IPS |
|
|
Face Detection (HP)
|
100% |
62317
740.5 IPS |
|
|
Face Detection (Q)
|
97% |
45294
540.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
89473
689.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
150350
1.16 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71198
570.3 IPS |
|
|
Style Transfer (SP)
|
100% |
467816
601.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1368071
1.76 KIPS |
|
|
Style Transfer (Q)
|
98% |
426494
550.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57527
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76654
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41894
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4946
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4660
80.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2123
39.8 IPS |
