Dell Inc. Precision 3680
Geekbench AI Score
35226
Single Precision Score
53673
Half Precision Score
27310
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | schiff6827 |
| Upload Date | January 05 2026 08:23 PM |
| Views | 2 |
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% |
14290
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
18867
3.51 KIPS |
|
|
Image Classification (Q)
|
100% |
12450
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28007
454.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
33975
550.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24046
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
292662
341.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
763343
890.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
268283
314.3 IPS |
|
|
Object Detection (SP)
|
100% |
18228
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
22758
1.81 KIPS |
|
|
Object Detection (Q)
|
84% |
15917
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
53418
634.7 IPS |
|
|
Face Detection (HP)
|
100% |
70369
836.1 IPS |
|
|
Face Detection (Q)
|
97% |
48165
574.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
96107
740.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
147467
1.14 KIPS |
|
|
Depth Estimation (Q)
|
77% |
63778
510.8 IPS |
|
|
Style Transfer (SP)
|
100% |
458216
589.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1042955
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
398913
514.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57285
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82851
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42251
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1763
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1978
37.1 IPS |
