Dell Inc. Precision Tower 3620
Geekbench AI Score
2105
Single Precision Score
2117
Half Precision Score
3531
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | feranick |
| Upload Date | November 07 2024 05:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700K CPU @ 4.20GHz |
| 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% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (Q)
|
100% |
2353
437.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2093
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2956
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3009
3.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
5475
6.42 IPS |
|
|
Object Detection (SP)
|
100% |
1280
101.5 IPS |
|
|
Object Detection (HP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (Q)
|
87% |
2355
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
1940
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
5469
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3647
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3660
28.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
6349
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8384
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8443
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15825
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3321
123.0 IPS |
|
|
Text Classification (SP)
|
100% |
1576
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (Q)
|
91% |
1485
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1751
30.2 IPS |
