Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
51020
Single Precision Score
77601
Half Precision Score
36856
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 12:29 PM |
| Views | 6 |
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-7E47 |
| Motherboard | Micro-Star International Co., Ltd. X870 GAMING PLUS 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% |
18281
3.40 KIPS |
|
|
Image Classification (HP)
|
100% |
23780
4.42 KIPS |
|
|
Image Classification (Q)
|
100% |
15627
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40365
654.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
52707
854.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
37057
602.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
411544
480.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
987419
1.15 KIPS |
|
|
Pose Estimation (Q)
|
96% |
329898
386.4 IPS |
|
|
Object Detection (SP)
|
100% |
27134
2.15 KIPS |
|
|
Object Detection (HP)
|
100% |
36782
2.92 KIPS |
|
|
Object Detection (Q)
|
85% |
21708
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
80439
955.8 IPS |
|
|
Face Detection (HP)
|
100% |
111927
1.33 KIPS |
|
|
Face Detection (Q)
|
97% |
62295
742.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
109060
840.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
200211
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76805
615.2 IPS |
|
|
Style Transfer (SP)
|
100% |
621926
799.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1817605
2.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
517008
666.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78410
2.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104994
3.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55548
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
4287
5.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2473
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
7909
136.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7841
135.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3282
61.5 IPS |
