Dell Inc. OptiPlex 3050
Geekbench AI Score
1173
Single Precision Score
1173
Half Precision Score
680
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | thomasfz |
| Upload Date | March 23 2025 12:03 PM |
| Views | 8 |
| Notes | multithread 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 |
| 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% |
850
158.2 IPS |
|
|
Image Classification (HP)
|
100% |
860
159.9 IPS |
|
|
Image Classification (Q)
|
99% |
438
81.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
473
7.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
1327
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1324
1.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
1118
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (HP)
|
100% |
868
68.8 IPS |
|
|
Object Detection (Q)
|
85% |
481
38.7 IPS |
|
|
Face Detection (SP)
|
100% |
1472
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1056
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1410
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1409
10.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
912
8.56 IPS |
|
|
Style Transfer (SP)
|
100% |
1771
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1778
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2344
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
1119
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1127
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
384
515.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
58% |
346
8.11 IPS |
