Dell Inc. OptiPlex 7070
Geekbench AI Score
3973
Single Precision Score
3879
Half Precision Score
5823
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | December 07 2025 05:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700 CPU @ 3.00GHz |
| 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% |
2475
460.2 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.2 IPS |
|
|
Image Classification (Q)
|
100% |
3971
738.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2587
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4593
74.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5689
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5739
6.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
11071
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (Q)
|
87% |
3980
319.2 IPS |
|
|
Face Detection (SP)
|
100% |
4228
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
3446
40.9 IPS |
|
|
Face Detection (Q)
|
97% |
10857
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6464
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6852
52.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
11165
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15379
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15287
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29881
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3183
117.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3196
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6272
232.3 IPS |
|
|
Text Classification (SP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (Q)
|
91% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3189
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3236
55.7 IPS |
