EVOO Products EG-LP7
Geekbench AI Score
3246
Single Precision Score
3420
Half Precision Score
4204
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | August 08 2025 09:52 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | EVOO Products EG-LP7 |
| Motherboard | EVOO Products GK5NR0V |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1923
357.7 IPS |
|
|
Image Classification (HP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (Q)
|
100% |
2637
490.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3191
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4227
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5418
6.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
7081
8.31 IPS |
|
|
Object Detection (SP)
|
100% |
2183
173.1 IPS |
|
|
Object Detection (HP)
|
100% |
2208
175.2 IPS |
|
|
Object Detection (Q)
|
87% |
2850
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (Q)
|
97% |
9121
108.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5942
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6407
49.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
8009
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15245
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15178
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19926
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2636
97.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3990
147.8 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (Q)
|
91% |
697
936.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2572
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2513
43.3 IPS |
