Dell Inc. Precision 3680
Geekbench AI Score
22678
Single Precision Score
35759
Half Precision Score
17601
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | schiff6827 |
| Upload Date | January 05 2026 04:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| 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% |
9089
1.69 KIPS |
|
|
Image Classification (HP)
|
99% |
14198
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
7704
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17337
281.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23427
379.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15635
254.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
122977
143.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
325660
380.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
110412
129.4 IPS |
|
|
Object Detection (SP)
|
100% |
11027
874.6 IPS |
|
|
Object Detection (HP)
|
100% |
17976
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
9403
757.0 IPS |
|
|
Face Detection (SP)
|
100% |
30035
356.9 IPS |
|
|
Face Detection (HP)
|
100% |
45893
545.3 IPS |
|
|
Face Detection (Q)
|
97% |
27062
322.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
56245
433.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99819
769.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
44274
353.5 IPS |
|
|
Style Transfer (SP)
|
100% |
207208
266.4 IPS |
|
|
Style Transfer (HP)
|
100% |
507393
652.3 IPS |
|
|
Style Transfer (Q)
|
98% |
184939
238.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39773
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50524
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28017
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1835
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3921
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3818
65.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2004
37.6 IPS |
