Dell Inc. Precision 3680
Geekbench AI Score
36768
Single Precision Score
53826
Half Precision Score
27870
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | schiff6827 |
| Upload Date | January 05 2026 11:08 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% |
13280
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
17503
3.26 KIPS |
|
|
Image Classification (Q)
|
100% |
11726
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26266
425.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
32334
524.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24310
395.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
325697
380.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
748653
873.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
268788
314.8 IPS |
|
|
Object Detection (SP)
|
100% |
17871
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
22331
1.77 KIPS |
|
|
Object Detection (Q)
|
84% |
15436
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
51521
612.2 IPS |
|
|
Face Detection (HP)
|
100% |
65113
773.7 IPS |
|
|
Face Detection (Q)
|
97% |
45011
536.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
92143
709.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
149516
1.15 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70620
565.6 IPS |
|
|
Style Transfer (SP)
|
100% |
466492
599.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1299313
1.67 KIPS |
|
|
Style Transfer (Q)
|
98% |
427713
551.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57489
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78052
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42275
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4449
5.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1903
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4957
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4912
84.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2186
41.0 IPS |
