Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
49620
Single Precision Score
75206
Half Precision Score
36190
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 04:57 PM |
| Views | 3 |
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-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17792
3.31 KIPS |
|
|
Image Classification (HP)
|
100% |
23448
4.36 KIPS |
|
|
Image Classification (Q)
|
100% |
15174
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39884
646.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
52173
845.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
36518
593.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
406069
473.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
949975
1.11 KIPS |
|
|
Pose Estimation (Q)
|
96% |
326133
382.0 IPS |
|
|
Object Detection (SP)
|
100% |
25703
2.04 KIPS |
|
|
Object Detection (HP)
|
100% |
34723
2.75 KIPS |
|
|
Object Detection (Q)
|
85% |
20933
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
78494
932.7 IPS |
|
|
Face Detection (HP)
|
100% |
107886
1.28 KIPS |
|
|
Face Detection (Q)
|
97% |
61121
728.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
108173
833.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
196499
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76623
613.7 IPS |
|
|
Style Transfer (SP)
|
100% |
611830
786.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1781352
2.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
508913
656.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76293
2.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101886
3.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53892
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
4012
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4875
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2422
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
7684
132.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7647
131.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3275
61.4 IPS |
