Dell Inc. OptiPlex 9010
Geekbench AI Score
394
Single Precision Score
396
Half Precision Score
1263
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | jcpenni |
| Upload Date | August 17 2024 10:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 9010 |
| Motherboard | Dell Inc. 0M9KCM |
| 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 | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.1 IPS |
|
|
Image Classification (Q)
|
100% |
799
148.6 IPS |
|
|
Image Segmentation (SP)
|
29% |
49
10.1 IPS |
|
|
Image Segmentation (HP)
|
29% |
48
10.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
860
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
778
0.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
1645
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
87% |
796
63.8 IPS |
|
|
Face Detection (SP)
|
100% |
1342
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1363
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
2247
26.8 IPS |
|
|
Depth Estimation (SP)
|
29% |
106
11.3 IPS |
|
|
Depth Estimation (HP)
|
29% |
106
11.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
2052
16.3 IPS |
|
|
Style Transfer (SP)
|
31% |
217
2.98 IPS |
|
|
Style Transfer (HP)
|
31% |
218
2.96 IPS |
|
|
Style Transfer (Q)
|
98% |
4933
6.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
670
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
668
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1010
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
91% |
438
589.2 IPS |
|
|
Machine Translation (SP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (Q)
|
90% |
1149
20.0 IPS |
