Dell Inc. Precision Tower 3620
Geekbench AI Score
1453
Single Precision Score
547
Half Precision Score
1900
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | feranick |
| Upload Date | November 07 2024 06:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Dell Inc. Precision Tower 3620 |
| Motherboard | Dell Inc. 0MWYPT |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
933
173.5 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
93% |
1344
251.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1420
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2719
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2385
2.78 IPS |
|
|
Pose Estimation (Q)
|
87% |
5207
6.15 IPS |
|
|
Object Detection (SP)
|
100% |
845
67.0 IPS |
|
|
Object Detection (HP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (Q)
|
86% |
988
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
227
2.69 IPS |
|
|
Face Detection (Q)
|
96% |
1888
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2714
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
784
6.04 IPS |
|
|
Depth Estimation (Q)
|
77% |
2537
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6594
8.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5544
7.13 IPS |
|
|
Style Transfer (Q)
|
87% |
6434
8.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1250
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1130
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1757
65.1 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
498
664.4 IPS |
|
|
Text Classification (Q)
|
97% |
1105
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (Q)
|
60% |
1047
23.4 IPS |
