Dell Inc. Precision 3680
Geekbench AI Score
35293
Single Precision Score
50786
Half Precision Score
26981
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | schiff6827 |
| Upload Date | January 05 2026 07:32 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% |
12942
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
16730
3.11 KIPS |
|
|
Image Classification (Q)
|
100% |
11086
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25768
417.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
30917
501.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
23880
388.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
317581
370.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
735652
858.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
266101
311.7 IPS |
|
|
Object Detection (SP)
|
100% |
17511
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
21443
1.70 KIPS |
|
|
Object Detection (Q)
|
84% |
14702
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
50419
599.1 IPS |
|
|
Face Detection (HP)
|
100% |
63030
748.9 IPS |
|
|
Face Detection (Q)
|
97% |
44385
529.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
88430
681.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
142693
1.10 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68617
549.6 IPS |
|
|
Style Transfer (SP)
|
100% |
439553
565.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1269272
1.63 KIPS |
|
|
Style Transfer (Q)
|
98% |
415786
536.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56840
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72058
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40909
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3153
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1843
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4604
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4368
75.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2068
38.8 IPS |
