Dell Inc. Precision 3460
Geekbench AI Score
2038
Single Precision Score
2049
Half Precision Score
1122
Quantized Score
Geekbench AI 1.0.0 Corporate for Linux AVX2
Result Information
| Upload Date | August 11 2024 07:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.1 LTS |
| Model | Dell Inc. Precision 3460 |
| Motherboard | Dell Inc. 08WXMX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
1367
254.3 IPS |
|
|
Image Classification (Q)
|
99% |
544
101.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
824
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2383
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2384
2.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
2036
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (Q)
|
86% |
743
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2754
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
1866
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2457
18.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
2464
19.0 IPS |
|
|
Depth Estimation (Q)
|
74% |
1723
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2978
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2981
3.83 IPS |
|
|
Style Transfer (Q)
|
98% |
4276
5.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1044
38.7 IPS |
|
|
Text Classification (SP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
592
794.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (Q)
|
58% |
553
13.0 IPS |
