Hewlett-Packard HP t620 Quad Core TC
Geekbench AI Score
145
Single Precision Score
145
Half Precision Score
278
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | janushk |
| Upload Date | December 02 2025 08:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD GX-415GA SOC with Radeon(tm) HD Graphics |
| 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% |
86
15.9 IPS |
|
|
Image Classification (HP)
|
100% |
86
16.0 IPS |
|
|
Image Classification (Q)
|
100% |
193
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (Q)
|
99% |
183
2.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
165
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
165
0.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
442
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.68 IPS |
|
|
Object Detection (HP)
|
100% |
86
6.84 IPS |
|
|
Object Detection (Q)
|
87% |
190
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (HP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (Q)
|
97% |
412
4.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.94 IPS |
|
|
Depth Estimation (Q)
|
81% |
518
4.09 IPS |
|
|
Style Transfer (SP)
|
100% |
361
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
361
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1284
1.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
113
4.16 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
254
9.39 IPS |
|
|
Text Classification (SP)
|
100% |
96
127.6 IPS |
|
|
Text Classification (HP)
|
100% |
92
123.0 IPS |
|
|
Text Classification (Q)
|
91% |
114
152.7 IPS |
|
|
Machine Translation (SP)
|
100% |
118
2.03 IPS |
|
|
Machine Translation (HP)
|
100% |
117
2.01 IPS |
|
|
Machine Translation (Q)
|
100% |
118
2.03 IPS |
