Dell Inc. OptiPlex 5070
Geekbench AI Score
2239
Single Precision Score
965
Half Precision Score
3249
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tanwenguang |
| Upload Date | November 17 2025 09:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. OptiPlex 5070 |
| Motherboard | Dell Inc. 0XJ5V0 |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1800
334.8 IPS |
|
|
Image Classification (HP)
|
100% |
312
58.0 IPS |
|
|
Image Classification (Q)
|
96% |
2558
477.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
3222
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3899
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3123
3.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
6865
8.12 IPS |
|
|
Object Detection (SP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
58% |
1845
201.6 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
861
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
4761
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4800
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1247
9.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
6237
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8720
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6746
8.67 IPS |
|
|
Style Transfer (Q)
|
87% |
9831
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1610
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2648
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
622
830.7 IPS |
|
|
Text Classification (Q)
|
97% |
946
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1718
33.2 IPS |
