HP HP Pro Mini 400 G9 Desktop PC
Geekbench AI Score
1554
Single Precision Score
1576
Half Precision Score
1050
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | March 15 2025 01:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP Pro Mini 400 G9 Desktop PC |
| Motherboard | HP 8955 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500T |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
669
124.3 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (Q)
|
100% |
559
104.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
916
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
700
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4843
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5266
6.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
3254
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
98% |
609
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
611
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
1497
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1126
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2874
22.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3147
24.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2125
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9996
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13311
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7390
9.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2330
86.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
868
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
438
584.4 IPS |
|
|
Text Classification (Q)
|
97% |
394
528.2 IPS |
|
|
Machine Translation (SP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
70% |
349
6.54 IPS |
