Dell Inc. OptiPlex 3050
Geekbench AI Score
994
Single Precision Score
999
Half Precision Score
547
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | thomasfz |
| Upload Date | March 23 2025 12:31 PM |
| Views | 6 |
| Notes | intel limit off |
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 | 2.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
704
130.9 IPS |
|
|
Image Classification (HP)
|
100% |
707
131.4 IPS |
|
|
Image Classification (Q)
|
99% |
354
65.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
909
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (HP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (Q)
|
85% |
388
31.2 IPS |
|
|
Face Detection (SP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1313
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
849
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1210
9.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
1214
9.35 IPS |
|
|
Depth Estimation (Q)
|
63% |
734
6.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1602
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1604
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
1912
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
711
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
513
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
307
412.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1280
22.1 IPS |
|
|
Machine Translation (Q)
|
58% |
276
6.48 IPS |
