Micro-Star International Co., Ltd. MS-7E48
Geekbench AI Score
45990
Single Precision Score
68341
Half Precision Score
34259
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 02 2025 06:35 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E48 |
| Motherboard | Micro-Star International Co., Ltd. MEG X870E GODLIKE (MS-7E48) |
| 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% |
17019
3.16 KIPS |
|
|
Image Classification (HP)
|
100% |
22314
4.15 KIPS |
|
|
Image Classification (Q)
|
100% |
14578
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30053
487.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
37246
603.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
28875
469.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
393049
458.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
905692
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
310237
363.4 IPS |
|
|
Object Detection (SP)
|
100% |
24180
1.92 KIPS |
|
|
Object Detection (HP)
|
100% |
32030
2.54 KIPS |
|
|
Object Detection (Q)
|
85% |
20023
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
68557
814.6 IPS |
|
|
Face Detection (HP)
|
100% |
89964
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
55678
663.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
108997
839.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
190428
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77862
623.6 IPS |
|
|
Style Transfer (SP)
|
100% |
618106
794.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1710307
2.20 KIPS |
|
|
Style Transfer (Q)
|
98% |
517280
667.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74716
2.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98751
3.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52779
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5020
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2455
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6200
106.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6346
109.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2932
55.0 IPS |
