MicroElectronics G730
Geekbench AI Score
2932
Single Precision Score
2957
Half Precision Score
7992
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rjoanglin |
| Upload Date | November 22 2025 11:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MicroElectronics G730 |
| Motherboard | Gigabyte Technology Co., Ltd. B850 GAMING WIFI6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.2 IPS |
|
|
Image Classification (Q)
|
100% |
4575
850.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5410
87.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2905
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2956
3.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
12817
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.6 IPS |
|
|
Object Detection (HP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (Q)
|
88% |
5696
456.6 IPS |
|
|
Face Detection (SP)
|
100% |
5664
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
5999
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
14662
174.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4703
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4708
36.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
14210
110.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9239
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9479
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34968
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6287
232.8 IPS |
|
|
Text Classification (SP)
|
100% |
1707
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2366
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2850
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5434
93.6 IPS |
