Dell Inc. OptiPlex 7070
Geekbench AI Score
1749
Single Precision Score
2497
Half Precision Score
2385
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 01:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. OptiPlex 7070 |
| Motherboard | Dell Inc. 0NRKPK |
| 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% |
1087
202.2 IPS |
|
|
Image Classification (HP)
|
100% |
1645
306.0 IPS |
|
|
Image Classification (Q)
|
100% |
1498
278.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2145
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2815
3.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
2585
3.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
3864
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (HP)
|
99% |
1701
135.3 IPS |
|
|
Object Detection (Q)
|
88% |
1582
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5249
62.4 IPS |
|
|
Face Detection (Q)
|
97% |
4686
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3262
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5479
42.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
4989
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7849
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10516
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9486
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1356
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2352
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2251
83.4 IPS |
|
|
Text Classification (SP)
|
71% |
692
1.00 KIPS |
|
|
Text Classification (HP)
|
71% |
799
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
611
821.4 IPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
97% |
999
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
996
17.2 IPS |
