HP HP Pro Mini 400 G9 Desktop PC
Geekbench AI Score
3011
Single Precision Score
3017
Half Precision Score
7304
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | March 15 2025 01:39 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12500T |
| 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% |
1946
361.9 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (Q)
|
100% |
4671
868.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4455
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3384
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3310
3.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
13646
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
1927
152.9 IPS |
|
|
Object Detection (Q)
|
88% |
4481
359.2 IPS |
|
|
Face Detection (SP)
|
100% |
4633
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
3908
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
10921
129.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4815
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4939
38.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11697
90.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10511
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10463
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
39574
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2158
79.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7637
282.8 IPS |
|
|
Text Classification (SP)
|
100% |
1991
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1992
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
3260
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2728
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2673
46.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2699
46.5 IPS |
