MicroElectronics G527
Geekbench AI Score
2912
Single Precision Score
1371
Half Precision Score
7163
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Munshat9 |
| Upload Date | December 10 2025 04:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500X3D 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MicroElectronics G527 |
| Motherboard | Micro-Star International Co., Ltd. PRO B850M-VC WIFI6E (MS-7E71) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500X3D 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2117
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.6 IPS |
|
|
Image Classification (Q)
|
99% |
5809
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6873
111.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3665
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3159
3.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
17120
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2015
159.8 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
86% |
5865
471.3 IPS |
|
|
Face Detection (SP)
|
100% |
4997
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
8621
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4972
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1899
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12893
102.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9486
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7762
9.98 IPS |
|
|
Style Transfer (Q)
|
98% |
24671
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1840
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
1549
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1621
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3992
80.2 IPS |
