MicroElectronics G909
Geekbench AI Score
6295
Single Precision Score
2409
Half Precision Score
11848
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | paversity |
| Upload Date | January 11 2025 06:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MicroElectronics G909 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670E-PRO WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4970
924.3 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.8 IPS |
|
|
Image Classification (Q)
|
99% |
11092
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2722
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5098
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13242
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10278
12.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
64180
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
5395
427.9 IPS |
|
|
Object Detection (HP)
|
100% |
1015
80.5 IPS |
|
|
Object Detection (Q)
|
86% |
13553
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
9260
110.0 IPS |
|
|
Face Detection (HP)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
14258
170.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13733
105.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3765
29.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
28012
223.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28417
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24117
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
45426
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3702
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3258
120.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6129
227.0 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2018
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4940
99.3 IPS |
