HP HP Pro SFF 400 G9 Desktop PC
Geekbench AI Score
3359
Single Precision Score
1257
Half Precision Score
5570
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 06:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pro SFF 400 G9 Desktop PC |
| Motherboard | HP 8C5A |
| Power Plan | HP Optimized |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2623
487.7 IPS |
|
|
Image Classification (HP)
|
100% |
473
88.0 IPS |
|
|
Image Classification (Q)
|
99% |
4972
927.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2930
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5847
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3294
3.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
18364
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2524
200.2 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.7 IPS |
|
|
Object Detection (Q)
|
86% |
5086
408.7 IPS |
|
|
Face Detection (SP)
|
100% |
6815
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
7836
93.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7029
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1743
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12244
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12568
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8784
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19984
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2296
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1705
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3425
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
625
834.1 IPS |
|
|
Text Classification (Q)
|
97% |
1325
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1684
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2429
48.8 IPS |
