Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
36916
Single Precision Score
61959
Half Precision Score
27694
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 09:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14905
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
21992
4.09 KIPS |
|
|
Image Classification (Q)
|
100% |
13004
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24824
402.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34516
559.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22968
373.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
234546
273.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
700535
817.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
198985
233.1 IPS |
|
|
Object Detection (SP)
|
100% |
20195
1.60 KIPS |
|
|
Object Detection (HP)
|
100% |
31677
2.51 KIPS |
|
|
Object Detection (Q)
|
86% |
16964
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
54925
652.6 IPS |
|
|
Face Detection (HP)
|
100% |
79656
946.5 IPS |
|
|
Face Detection (Q)
|
97% |
44974
536.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
90244
695.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
174554
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65884
526.1 IPS |
|
|
Style Transfer (SP)
|
100% |
347408
446.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1139762
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
302009
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57640
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90741
3.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41329
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
4199
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2425
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6437
110.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6497
111.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2935
55.1 IPS |
