Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
47194
Single Precision Score
70035
Half Precision Score
34950
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 24 2025 03:11 PM |
| Views | 58 |
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 | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17716
3.29 KIPS |
|
|
Image Classification (HP)
|
100% |
22985
4.27 KIPS |
|
|
Image Classification (Q)
|
100% |
14874
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30356
492.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
37608
609.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
29345
477.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
394947
460.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
900799
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
308957
361.9 IPS |
|
|
Object Detection (SP)
|
100% |
25084
1.99 KIPS |
|
|
Object Detection (HP)
|
100% |
33223
2.64 KIPS |
|
|
Object Detection (Q)
|
85% |
20949
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
69565
826.6 IPS |
|
|
Face Detection (HP)
|
100% |
91392
1.09 KIPS |
|
|
Face Detection (Q)
|
97% |
56503
673.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
110802
853.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
197369
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79027
633.0 IPS |
|
|
Style Transfer (SP)
|
100% |
618283
794.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1769359
2.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
522899
674.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76287
2.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103289
3.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54683
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4425
5.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5291
7.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2527
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6395
110.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6292
108.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2984
56.0 IPS |
