Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
8668
Single Precision Score
3020
Half Precision Score
14474
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | October 09 2025 12:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| 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 | Storage Benchmark Power Scheme based on Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5733
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
908
168.8 IPS |
|
|
Image Classification (Q)
|
99% |
14378
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5755
93.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29598
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17311
20.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
86780
101.7 IPS |
|
|
Object Detection (SP)
|
100% |
6388
506.7 IPS |
|
|
Object Detection (HP)
|
100% |
1172
93.0 IPS |
|
|
Object Detection (Q)
|
86% |
16683
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
11415
135.6 IPS |
|
|
Face Detection (HP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
16849
200.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18809
144.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4494
34.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
35698
284.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51578
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41685
53.6 IPS |
|
|
Style Transfer (Q)
|
98% |
56588
73.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5239
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3846
142.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6737
249.5 IPS |
|
|
Text Classification (SP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2147
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4826
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
6843
137.5 IPS |
