Dell Inc. Vostro 3710
Geekbench AI Score
1618
Single Precision Score
1672
Half Precision Score
1102
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2026 10:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Vostro 3710 |
| Motherboard | Dell Inc. 072TMP |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
680
126.5 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.5 IPS |
|
|
Image Classification (Q)
|
100% |
614
114.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
733
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4991
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
5499
6.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
3371
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (HP)
|
98% |
667
53.1 IPS |
|
|
Object Detection (Q)
|
86% |
659
53.0 IPS |
|
|
Face Detection (SP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
1179
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2963
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3259
25.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2175
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10289
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13882
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
7661
9.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1756
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2411
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
895
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
448
598.6 IPS |
|
|
Text Classification (Q)
|
97% |
405
542.0 IPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
70% |
372
6.97 IPS |
