Dell Inc. OptiPlex 7070
Geekbench AI Score
1785
Single Precision Score
2652
Half Precision Score
2531
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | December 07 2025 05:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7070 |
| Motherboard | Dell Inc. 0NRKPK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1108
206.0 IPS |
|
|
Image Classification (HP)
|
100% |
1716
319.2 IPS |
|
|
Image Classification (Q)
|
100% |
1551
288.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2235
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2804
3.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
2574
3.01 IPS |
|
|
Pose Estimation (Q)
|
97% |
3853
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
99% |
1755
139.6 IPS |
|
|
Object Detection (Q)
|
88% |
1633
130.9 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5516
65.5 IPS |
|
|
Face Detection (Q)
|
97% |
4877
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3279
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5540
42.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
5050
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7816
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10459
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9564
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1358
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2387
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2252
83.4 IPS |
|
|
Text Classification (SP)
|
71% |
734
1.06 KIPS |
|
|
Text Classification (HP)
|
71% |
853
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
658
884.0 IPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1427
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1422
24.6 IPS |
