Dell Inc. Precision 3680
Geekbench AI Score
3334
Single Precision Score
805
Half Precision Score
4170
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:37 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1902
353.6 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
99% |
3552
662.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
272
4.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
2582
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6841
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4290
5.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
21908
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
88% |
2061
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (Q)
|
97% |
3889
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7404
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1014
7.81 IPS |
|
|
Depth Estimation (Q)
|
76% |
8655
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15916
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10586
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20208
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2855
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4380
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
1656
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
648
865.5 IPS |
|
|
Text Classification (Q)
|
97% |
585
783.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2207
49.2 IPS |
