HP Pro Mini 400 G9 Desktop PC HP HP Pro Mini 400 G9 Desktop PC
Geekbench AI Score
2445
Single Precision Score
3590
Half Precision Score
5524
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | September 20 2024 03:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1498
278.6 IPS |
|
|
Image Classification (HP)
|
100% |
2499
464.8 IPS |
|
|
Image Classification (Q)
|
99% |
3657
682.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4006
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4247
4.96 IPS |
|
|
Pose Estimation (HP)
|
99% |
3136
3.66 IPS |
|
|
Pose Estimation (Q)
|
97% |
12778
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1341
106.3 IPS |
|
|
Object Detection (HP)
|
98% |
2147
170.9 IPS |
|
|
Object Detection (Q)
|
90% |
4027
322.0 IPS |
|
|
Face Detection (SP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
6763
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
9322
110.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4889
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8077
62.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10790
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11135
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18804
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29312
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3251
120.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6528
241.8 IPS |
|
|
Text Classification (SP)
|
71% |
1050
1.52 KIPS |
|
|
Text Classification (HP)
|
71% |
1278
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
1289
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1421
24.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1416
24.4 IPS |
