MicroElectronics G909
Geekbench AI Score
11759
Single Precision Score
11828
Half Precision Score
27342
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | paversity |
| Upload Date | January 11 2025 07:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
6245
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6500
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
13763
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8138
131.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8508
137.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19059
309.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21457
25.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21546
25.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
88247
103.3 IPS |
|
|
Object Detection (SP)
|
100% |
7312
580.0 IPS |
|
|
Object Detection (HP)
|
100% |
7051
559.3 IPS |
|
|
Object Detection (Q)
|
88% |
16116
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
16759
199.1 IPS |
|
|
Face Detection (HP)
|
100% |
16122
191.6 IPS |
|
|
Face Detection (Q)
|
100% |
43421
515.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19345
149.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19890
153.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
52922
411.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57321
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
57261
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
210359
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11829
436.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11882
438.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32641
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4513
6.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4463
5.96 KIPS |
|
|
Text Classification (Q)
|
92% |
5822
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6395
110.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6553
112.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6816
117.4 IPS |
