Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
8152
Single Precision Score
2847
Half Precision Score
14209
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | October 25 2025 02:17 AM |
| Views | 3 |
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 | High performance |
| 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% |
5582
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
881
163.8 IPS |
|
|
Image Classification (Q)
|
99% |
15188
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5670
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25803
30.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16773
19.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
83284
97.7 IPS |
|
|
Object Detection (SP)
|
100% |
5554
440.5 IPS |
|
|
Object Detection (HP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (Q)
|
86% |
16549
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
11583
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
16908
201.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16825
129.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4345
33.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
33967
271.0 IPS |
|
|
Style Transfer (SP)
|
100% |
48678
62.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31156
40.1 IPS |
|
|
Style Transfer (Q)
|
98% |
55125
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3925
144.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6250
231.4 IPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2116
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
6754
135.7 IPS |
