EVOO Products EG-LP7
Geekbench AI Score
2178
Single Precision Score
1044
Half Precision Score
3007
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | August 08 2025 10:05 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| 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% |
1878
349.2 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.2 IPS |
|
|
Image Classification (Q)
|
96% |
2380
444.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
3183
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3764
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3106
3.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
5433
6.42 IPS |
|
|
Object Detection (SP)
|
100% |
1777
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
58% |
1817
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
962
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
5052
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5213
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1590
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6066
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9676
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7684
9.88 IPS |
|
|
Style Transfer (Q)
|
87% |
9624
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1499
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2159
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
1214
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
567
757.4 IPS |
|
|
Text Classification (Q)
|
97% |
861
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
1476
28.5 IPS |
