HP HP Pro Mini 400 G9 Desktop PC
Geekbench AI Score
2334
Single Precision Score
3325
Half Precision Score
5164
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | March 15 2025 01:48 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1382
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
2261
420.5 IPS |
|
|
Image Classification (Q)
|
99% |
3506
653.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3442
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4027
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (HP)
|
99% |
2864
3.34 IPS |
|
|
Pose Estimation (Q)
|
97% |
11813
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
98% |
1934
153.9 IPS |
|
|
Object Detection (Q)
|
90% |
3518
281.3 IPS |
|
|
Face Detection (SP)
|
100% |
4288
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
6892
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
9427
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4635
35.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7452
57.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10403
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10050
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16183
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26431
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1783
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2914
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5875
217.6 IPS |
|
|
Text Classification (SP)
|
71% |
1015
1.47 KIPS |
|
|
Text Classification (HP)
|
71% |
1189
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
1204
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1333
23.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1255
21.6 IPS |
