HP HP Elite Mini 800 G9 Desktop PC
Geekbench AI Score
125
Single Precision Score
123
Half Precision Score
90
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | March 19 2025 08:28 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | HP HP Elite Mini 800 G9 Desktop PC |
| Motherboard | HP 8AC3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (HP)
|
100% |
70
13.0 IPS |
|
|
Image Classification (Q)
|
97% |
53
9.94 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
81
1.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
111
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
97
0.11 IPS |
|
|
Object Detection (SP)
|
100% |
68
5.38 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.76 IPS |
|
|
Object Detection (Q)
|
87% |
54
4.34 IPS |
|
|
Face Detection (SP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (HP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (Q)
|
97% |
171
2.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
160
1.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
159
1.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
113
1.04 IPS |
|
|
Style Transfer (SP)
|
100% |
344
0.44 IPS |
|
|
Style Transfer (HP)
|
100% |
337
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
293
0.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75
2.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
74
2.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
60
2.21 IPS |
|
|
Text Classification (SP)
|
100% |
96
128.2 IPS |
|
|
Text Classification (HP)
|
100% |
99
131.9 IPS |
|
|
Text Classification (Q)
|
91% |
62
83.5 IPS |
|
|
Machine Translation (SP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (HP)
|
100% |
169
2.92 IPS |
|
|
Machine Translation (Q)
|
58% |
74
1.76 IPS |
