Dell Inc. Precision Tower 3620
Geekbench AI Score
1847
Single Precision Score
906
Half Precision Score
2639
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jrybolt |
| Upload Date | February 09 2026 07:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 3620 |
| Motherboard | Dell Inc. 0MWYPT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1529
284.3 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (Q)
|
96% |
2172
405.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
2554
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3184
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2513
2.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
5242
6.20 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
58% |
1538
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
930
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
3864
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2944
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1235
9.52 IPS |
|
|
Depth Estimation (Q)
|
78% |
4990
39.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7101
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
5329
6.85 IPS |
|
|
Style Transfer (Q)
|
87% |
7190
9.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1613
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
658
877.9 IPS |
|
|
Text Classification (Q)
|
97% |
1010
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (Q)
|
68% |
1628
31.5 IPS |
