Dell Inc. Precision 3680
Geekbench AI Score
4434
Single Precision Score
4646
Half Precision Score
10854
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:49 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3680 |
| Motherboard | Dell Inc. 0VTKY7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2979
553.9 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.3 IPS |
|
|
Image Classification (Q)
|
100% |
6484
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3356
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3338
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5765
93.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5873
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5878
6.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
21679
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2767
219.5 IPS |
|
|
Object Detection (HP)
|
100% |
2834
224.8 IPS |
|
|
Object Detection (Q)
|
88% |
6472
518.8 IPS |
|
|
Face Detection (SP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7187
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
16250
193.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7651
58.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
7588
58.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
18307
145.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17659
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17459
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
60144
77.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3672
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11462
424.5 IPS |
|
|
Text Classification (SP)
|
100% |
1989
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2028
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
3995
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4018
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4051
69.8 IPS |
|
|
Machine Translation (Q)
|
85% |
5283
92.4 IPS |
