Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
37690
Single Precision Score
63033
Half Precision Score
28432
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 09:39 AM |
| Views | 11 |
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 8-Core Processor |
| 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% |
15233
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
22477
4.18 KIPS |
|
|
Image Classification (Q)
|
100% |
13185
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25297
410.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
34884
565.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
23600
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
240338
280.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
723047
843.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
205179
240.3 IPS |
|
|
Object Detection (SP)
|
100% |
20641
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
32813
2.60 KIPS |
|
|
Object Detection (Q)
|
86% |
17623
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
56495
671.3 IPS |
|
|
Face Detection (HP)
|
100% |
82071
975.2 IPS |
|
|
Face Detection (Q)
|
97% |
46089
549.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92517
712.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
174436
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67766
541.1 IPS |
|
|
Style Transfer (SP)
|
100% |
358160
460.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1190777
1.53 KIPS |
|
|
Style Transfer (Q)
|
98% |
309119
398.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58721
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89612
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44039
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4184
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5292
7.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2450
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6580
113.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6584
113.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2946
55.3 IPS |
