Dell Inc. OptiPlex 9010
Geekbench AI Score
203
Single Precision Score
201
Half Precision Score
1036
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | nicholaslim9956 |
| Upload Date | September 27 2024 05:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 9010 |
| Motherboard | Dell Inc. 00F82W |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
353
65.7 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
100% |
654
121.5 IPS |
|
|
Image Segmentation (SP)
|
29% |
40
8.29 IPS |
|
|
Image Segmentation (HP)
|
29% |
40
8.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
751
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
619
0.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
1418
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
349
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
87% |
673
54.0 IPS |
|
|
Face Detection (SP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
1917
22.9 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
8.92 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
8.63 IPS |
|
|
Depth Estimation (Q)
|
81% |
1751
13.8 IPS |
|
|
Style Transfer (SP)
|
31% |
169
2.29 IPS |
|
|
Style Transfer (HP)
|
31% |
169
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
4155
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
824
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
586
781.8 IPS |
|
|
Text Classification (HP)
|
100% |
583
778.5 IPS |
|
|
Text Classification (Q)
|
91% |
383
515.2 IPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
100% |
697
12.0 IPS |
