Dell Inc. Precision 3460
Geekbench AI Score
3365
Single Precision Score
867
Half Precision Score
7426
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maquiz |
| Upload Date | April 12 2025 10:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | Dell Inc. Precision 3460 |
| Motherboard | Dell Inc. 08WXMX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.5 IPS |
|
|
Image Classification (Q)
|
97% |
7017
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
3504
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5686
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3932
4.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
25441
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
2202
174.6 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
86% |
6640
533.7 IPS |
|
|
Face Detection (SP)
|
100% |
3916
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
431
5.13 IPS |
|
|
Face Detection (Q)
|
97% |
14606
174.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6783
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1105
8.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
15204
121.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13980
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9546
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21861
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1892
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4767
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
1716
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
607
809.7 IPS |
|
|
Text Classification (Q)
|
97% |
1688
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2576
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (Q)
|
65% |
3146
63.2 IPS |
