HP HP ProDesk 400 G7 Small Form Factor PC
Geekbench AI Score
1447
Single Precision Score
1460
Half Precision Score
926
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | rfoard |
| Upload Date | May 14 2025 02:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-10400F |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (KDE Plasma Desktop Edition) |
| Model | HP HP ProDesk 400 G7 Small Form Factor PC |
| Motherboard | HP 8719 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1185
220.4 IPS |
|
|
Image Classification (HP)
|
100% |
1224
227.6 IPS |
|
|
Image Classification (Q)
|
99% |
567
105.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
640
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1718
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1707
1.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
1729
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
1177
93.3 IPS |
|
|
Object Detection (HP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (Q)
|
85% |
681
54.8 IPS |
|
|
Face Detection (SP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1475
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1654
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1648
12.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1252
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1964
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1965
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3324
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
929
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (Q)
|
92% |
456
613.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
58% |
420
9.87 IPS |
