EVOO Products EG-LP7
Geekbench AI Score
2532
Single Precision Score
3202
Half Precision Score
1939
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | August 08 2025 10:13 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
1040
193.4 IPS |
|
|
Image Classification (HP)
|
100% |
1214
225.7 IPS |
|
|
Image Classification (Q)
|
100% |
936
174.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1040
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9334
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16401
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
7902
9.26 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (Q)
|
88% |
1093
87.6 IPS |
|
|
Face Detection (SP)
|
100% |
2756
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
3337
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
2314
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5523
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7830
60.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
4335
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16134
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26128
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13226
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3428
126.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2414
89.4 IPS |
|
|
Text Classification (SP)
|
100% |
658
877.7 IPS |
|
|
Text Classification (HP)
|
100% |
699
933.5 IPS |
|
|
Text Classification (Q)
|
97% |
429
574.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
70% |
652
12.2 IPS |
