MicroElectronics G730
Geekbench AI Score
2532
Single Precision Score
1105
Half Precision Score
5353
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rjoanglin |
| Upload Date | November 22 2025 11:33 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| 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% |
1855
345.0 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
99% |
4359
813.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
5165
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3080
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2736
3.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
12176
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
86% |
4420
355.3 IPS |
|
|
Face Detection (SP)
|
100% |
4834
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
6862
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4089
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1460
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9980
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8657
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7653
9.84 IPS |
|
|
Style Transfer (Q)
|
98% |
19029
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3648
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
658
878.2 IPS |
|
|
Text Classification (Q)
|
97% |
1182
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2838
57.0 IPS |
