Dell Inc. Precision Tower 3620
Geekbench AI Score
873
Single Precision Score
892
Half Precision Score
489
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | toffuuu |
| Upload Date | September 02 2025 02:57 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-6600 |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Dell Inc. Precision Tower 3620 |
| Motherboard | Dell Inc. 09WH54 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.6 IPS |
|
|
Image Classification (Q)
|
99% |
284
53.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
367
5.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
1127
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1159
1.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
913
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
553
43.8 IPS |
|
|
Object Detection (Q)
|
85% |
321
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1116
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
698
8.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
1093
8.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
1073
8.27 IPS |
|
|
Depth Estimation (Q)
|
63% |
719
6.75 IPS |
|
|
Style Transfer (SP)
|
100% |
1612
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1609
2.07 IPS |
|
|
Style Transfer (Q)
|
98% |
1904
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (Q)
|
92% |
245
329.6 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (Q)
|
58% |
227
5.32 IPS |
