Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
46981
Single Precision Score
70206
Half Precision Score
34952
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 10:14 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) |
| Power Plan | Hchstleistung |
| 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% |
16934
3.15 KIPS |
|
|
Image Classification (HP)
|
100% |
22316
4.15 KIPS |
|
|
Image Classification (Q)
|
100% |
14973
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33892
549.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
42503
689.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31358
509.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
403933
471.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
987692
1.15 KIPS |
|
|
Pose Estimation (Q)
|
96% |
323009
378.4 IPS |
|
|
Object Detection (SP)
|
100% |
24177
1.92 KIPS |
|
|
Object Detection (HP)
|
100% |
31596
2.51 KIPS |
|
|
Object Detection (Q)
|
85% |
20078
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
74700
887.6 IPS |
|
|
Face Detection (HP)
|
100% |
100375
1.19 KIPS |
|
|
Face Detection (Q)
|
97% |
59447
708.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
107626
829.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
191391
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76864
615.6 IPS |
|
|
Style Transfer (SP)
|
100% |
591779
760.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1645128
2.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
496216
639.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72781
2.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95943
3.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52797
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4820
6.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2407
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6777
116.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6725
115.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3102
58.2 IPS |
