HP Pro Mini 400 G9 Desktop PC HP HP Pro Mini 400 G9 Desktop PC
Geekbench AI Score
3207
Single Precision Score
3284
Half Precision Score
7408
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | September 20 2024 04:59 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pro Mini 400 G9 Desktop PC |
| Motherboard | HP 8AC9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700T |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.0 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.9 IPS |
|
|
Image Classification (Q)
|
100% |
4851
902.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4387
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4696
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4648
5.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
16999
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
2200
174.5 IPS |
|
|
Object Detection (Q)
|
88% |
5149
412.7 IPS |
|
|
Face Detection (SP)
|
100% |
5707
67.8 IPS |
|
|
Face Detection (HP)
|
100% |
5644
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
13031
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5790
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5828
44.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
13783
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14208
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14209
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29370
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2818
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2727
100.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8285
306.8 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (Q)
|
92% |
2336
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2617
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2556
44.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2620
45.1 IPS |
