Dell Inc. OptiPlex 7070
Geekbench AI Score
2364
Single Precision Score
2352
Half Precision Score
3401
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Mimizuku |
| Upload Date | February 08 2025 01:49 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9500T CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7070 |
| Motherboard | Dell Inc. 06XMFM |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9500T |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1474
274.1 IPS |
|
|
Image Classification (HP)
|
100% |
1489
277.0 IPS |
|
|
Image Classification (Q)
|
100% |
2096
389.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2559
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2965
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2970
3.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
5710
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.9 IPS |
|
|
Object Detection (HP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (Q)
|
87% |
2221
178.1 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3110
36.9 IPS |
|
|
Face Detection (Q)
|
97% |
5956
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3855
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3811
29.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
6136
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8326
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8437
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16100
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1788
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3287
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
1488
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (Q)
|
91% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2106
36.3 IPS |
