HP HP Pro Mini 400 G9 Desktop PC
Geekbench ML Score
2310
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 12:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pro Mini 400 G9 Desktop PC |
| Motherboard | HP 8C63 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500T |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1241
232.3 IPS |
|
|
Image Classification (F16)
|
100% |
1233
230.7 IPS |
|
|
Image Classification (I8)
|
99% |
2288
428.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1193
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1187
19.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1670
27.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3848
4.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
3874
4.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
13302
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1148
85.7 IPS |
|
|
Object Detection (F16)
|
100% |
1179
88.0 IPS |
|
|
Object Detection (I8)
|
62% |
1115
83.3 IPS |
|
|
Face Detection (F32)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (F16)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (I8)
|
89% |
2810
33.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4739
36.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4612
35.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
8845
68.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9703
12.8 IPS |
|
|
Style Transfer (F16)
|
100% |
9784
12.9 IPS |
|
|
Style Transfer (I8)
|
98% |
13732
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2039
72.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2149
76.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3007
107.4 IPS |
|
|
Text Classification (F32)
|
100% |
926
1.33 KIPS |
|
|
Text Classification (F16)
|
100% |
919
1.32 KIPS |
|
|
Text Classification (I8)
|
98% |
285
409.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1265
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1257
23.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1702
31.3 IPS |
