Dell Inc. Precision Tower 3620
Geekbench AI Score
1253
Single Precision Score
1256
Half Precision Score
747
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | xDJoelDx |
| Upload Date | March 17 2026 01:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Dell Inc. Precision Tower 3620 |
| Motherboard | Dell Inc. 0MWYPT |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
934
173.8 IPS |
|
|
Image Classification (HP)
|
100% |
942
175.3 IPS |
|
|
Image Classification (Q)
|
99% |
478
89.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
522
8.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
1351
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1351
1.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
1226
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
955
75.8 IPS |
|
|
Object Detection (HP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (Q)
|
85% |
528
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
1554
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
1153
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1469
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1471
11.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1006
9.43 IPS |
|
|
Style Transfer (SP)
|
100% |
1892
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1895
2.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2549
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
703
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
1241
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
422
567.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (Q)
|
58% |
383
9.00 IPS |
