Hewlett-Packard HP t620 Quad Core TC
Geekbench AI Score
143
Single Precision Score
63
Half Precision Score
132
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | janushk |
| Upload Date | December 02 2025 08:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD GX-415GA |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Cinnamon) |
| Model | Hewlett-Packard HP t620 Quad Core TC |
| Motherboard | Hewlett-Packard 21B4 |
| CPU Information | |
|---|---|
| Name | AMD GX-415GA |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 22 Model 0 Stepping 1 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
81
15.0 IPS |
|
|
Image Classification (HP)
|
100% |
21
3.97 IPS |
|
|
Image Classification (Q)
|
97% |
66
12.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
58
0.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
32
0.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
98
1.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
204
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
145
0.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
191
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.64 IPS |
|
|
Object Detection (HP)
|
100% |
26
2.09 IPS |
|
|
Object Detection (Q)
|
86% |
65
5.25 IPS |
|
|
Face Detection (SP)
|
100% |
193
2.30 IPS |
|
|
Face Detection (HP)
|
100% |
50
0.60 IPS |
|
|
Face Detection (Q)
|
97% |
275
3.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
259
2.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
99
0.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
194
1.55 IPS |
|
|
Style Transfer (SP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
410
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
452
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
81
2.99 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
109
4.02 IPS |
|
|
Text Classification (SP)
|
100% |
96
128.4 IPS |
|
|
Text Classification (HP)
|
100% |
50
67.0 IPS |
|
|
Text Classification (Q)
|
97% |
92
123.5 IPS |
|
|
Machine Translation (SP)
|
100% |
153
2.63 IPS |
|
|
Machine Translation (HP)
|
100% |
48
0.83 IPS |
|
|
Machine Translation (Q)
|
65% |
88
1.77 IPS |
