HP Pro Mini 400 G9 Desktop PC HP HP Pro Mini 400 G9 Desktop PC
Geekbench AI Score
1553
Single Precision Score
1625
Half Precision Score
1035
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | September 20 2024 03:40 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
662
123.1 IPS |
|
|
Image Classification (HP)
|
100% |
699
129.9 IPS |
|
|
Image Classification (Q)
|
99% |
535
99.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
762
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3997
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5108
5.96 IPS |
|
|
Pose Estimation (Q)
|
98% |
2953
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (HP)
|
98% |
651
51.8 IPS |
|
|
Object Detection (Q)
|
89% |
586
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
939
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2950
22.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3293
25.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
2153
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10739
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14796
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8078
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2479
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
923
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
402
536.1 IPS |
|
|
Text Classification (Q)
|
97% |
425
568.9 IPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
313
6.98 IPS |
