Dell Inc. OptiPlex 3050
Geekbench AI Score
1162
Single Precision Score
1165
Half Precision Score
678
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | thomasfz |
| Upload Date | March 23 2025 12:13 PM |
| Views | 10 |
| Notes | mutlithread on |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-7700T |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | Dell Inc. OptiPlex 3050 |
| Motherboard | Dell Inc. 0JP3NX |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
857
159.4 IPS |
|
|
Image Classification (HP)
|
100% |
861
160.2 IPS |
|
|
Image Classification (Q)
|
99% |
439
81.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
956
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
469
7.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
1275
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1286
1.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
1117
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
878
69.6 IPS |
|
|
Object Detection (HP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (Q)
|
85% |
481
38.7 IPS |
|
|
Face Detection (SP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
1053
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1370
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1369
10.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
909
8.53 IPS |
|
|
Style Transfer (SP)
|
100% |
1763
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1749
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
2329
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
637
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
383
514.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1502
25.9 IPS |
|
|
Machine Translation (Q)
|
58% |
345
8.09 IPS |
