Dell Inc. OptiPlex 9010
Geekbench AI Score
199
Single Precision Score
199
Half Precision Score
1025
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | nicholaslim9956 |
| Upload Date | September 27 2024 06:05 AM |
| Views | 13 |
| Notes | Intel Core i7-3770 Framework Openvino |
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% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (Q)
|
100% |
632
117.6 IPS |
|
|
Image Segmentation (SP)
|
29% |
38
7.88 IPS |
|
|
Image Segmentation (HP)
|
29% |
37
7.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
733
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
585
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
585
0.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
1353
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
87% |
625
50.1 IPS |
|
|
Face Detection (SP)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
1881
22.4 IPS |
|
|
Depth Estimation (SP)
|
1% |
0
8.80 IPS |
|
|
Depth Estimation (HP)
|
1% |
0
9.11 IPS |
|
|
Depth Estimation (Q)
|
81% |
1729
13.7 IPS |
|
|
Style Transfer (SP)
|
31% |
174
2.37 IPS |
|
|
Style Transfer (HP)
|
31% |
176
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
4277
5.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
521
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
855
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
616
821.6 IPS |
|
|
Text Classification (HP)
|
100% |
622
830.7 IPS |
|
|
Text Classification (Q)
|
91% |
390
524.1 IPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
100% |
706
12.2 IPS |
