MicroElectronics G913
Geekbench AI Score
41605
Single Precision Score
70083
Half Precision Score
31040
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Coresair |
| Upload Date | December 21 2025 06:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MicroElectronics G913 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| 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% |
15968
2.97 KIPS |
|
|
Image Classification (HP)
|
100% |
23288
4.33 KIPS |
|
|
Image Classification (Q)
|
100% |
14078
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32145
521.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
47039
762.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
28786
468.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
258814
302.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
826434
964.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
221288
259.2 IPS |
|
|
Object Detection (SP)
|
100% |
22049
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
33774
2.68 KIPS |
|
|
Object Detection (Q)
|
86% |
18198
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
65316
776.1 IPS |
|
|
Face Detection (HP)
|
100% |
95580
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
52260
623.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
100225
772.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
187245
1.44 KIPS |
|
|
Depth Estimation (Q)
|
78% |
73057
583.4 IPS |
|
|
Style Transfer (SP)
|
100% |
389541
500.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1268031
1.63 KIPS |
|
|
Style Transfer (Q)
|
98% |
333414
429.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61133
2.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95648
3.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46235
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5231
6.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2620
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
8157
140.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8234
141.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3300
61.9 IPS |
