Dell Inc. OptiPlex 7000
Geekbench AI Score
114
Single Precision Score
112
Half Precision Score
82
Quantized Score
Geekbench AI 1.0.0 for Linux x86 (64-bit)
Result Information
| Upload Date | August 23 2024 02:13 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-12700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | Dell Inc. OptiPlex 7000 |
| Motherboard | Dell Inc. 0F1HC1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
75
14.0 IPS |
|
|
Image Classification (HP)
|
100% |
74
13.7 IPS |
|
|
Image Classification (Q)
|
97% |
54
10.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
87
1.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
69
1.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
100
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
83
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
61
4.83 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.80 IPS |
|
|
Object Detection (Q)
|
88% |
48
3.81 IPS |
|
|
Face Detection (SP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (HP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (Q)
|
97% |
155
1.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
144
1.11 IPS |
|
|
Depth Estimation (HP)
|
100% |
143
1.10 IPS |
|
|
Depth Estimation (Q)
|
75% |
111
0.90 IPS |
|
|
Style Transfer (SP)
|
100% |
301
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
300
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
255
0.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66
2.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
53
1.96 IPS |
|
|
Text Classification (SP)
|
100% |
96
128.0 IPS |
|
|
Text Classification (HP)
|
100% |
94
125.8 IPS |
|
|
Text Classification (Q)
|
91% |
57
76.5 IPS |
|
|
Machine Translation (SP)
|
100% |
153
2.64 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.63 IPS |
|
|
Machine Translation (Q)
|
58% |
73
1.73 IPS |
