Dell Inc. OptiPlex 7070
Geekbench AI Score
3829
Single Precision Score
3811
Half Precision Score
5665
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 01:02 PM |
| Views | 2 |
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 (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% |
2435
452.8 IPS |
|
|
Image Classification (HP)
|
100% |
2431
452.1 IPS |
|
|
Image Classification (Q)
|
100% |
3937
732.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4213
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5341
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
5389
6.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
10724
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
2372
188.1 IPS |
|
|
Object Detection (Q)
|
87% |
3843
308.2 IPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
3796
45.1 IPS |
|
|
Face Detection (Q)
|
97% |
10350
123.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6714
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6607
50.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
10742
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14991
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14976
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30113
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3127
115.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3189
117.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6118
226.6 IPS |
|
|
Text Classification (SP)
|
100% |
2664
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
91% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2892
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2877
49.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2866
49.4 IPS |
