Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
46822
Single Precision Score
70291
Half Precision Score
34693
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 10:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15885
2.95 KIPS |
|
|
Image Classification (HP)
|
100% |
21508
4.00 KIPS |
|
|
Image Classification (Q)
|
100% |
14894
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33894
549.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
42426
687.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
32099
521.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
399588
466.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
945219
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
321899
377.1 IPS |
|
|
Object Detection (SP)
|
100% |
24423
1.94 KIPS |
|
|
Object Detection (HP)
|
100% |
31120
2.47 KIPS |
|
|
Object Detection (Q)
|
85% |
19683
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
72956
866.9 IPS |
|
|
Face Detection (HP)
|
100% |
98242
1.17 KIPS |
|
|
Face Detection (Q)
|
97% |
58144
693.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
106140
817.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
194417
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75504
604.7 IPS |
|
|
Style Transfer (SP)
|
100% |
604762
777.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1730279
2.22 KIPS |
|
|
Style Transfer (Q)
|
98% |
500062
644.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73012
2.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95273
3.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51932
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5083
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2412
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6867
118.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6855
118.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3033
56.9 IPS |
