Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
8608
Single Precision Score
3001
Half Precision Score
14077
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | June 06 2025 11:37 PM |
| Views | 7 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| 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% |
5615
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
914
169.9 IPS |
|
|
Image Classification (Q)
|
99% |
15396
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3085
50.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5644
91.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
30916
36.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17856
20.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
87981
103.2 IPS |
|
|
Object Detection (SP)
|
100% |
5811
460.9 IPS |
|
|
Object Detection (HP)
|
100% |
1170
92.8 IPS |
|
|
Object Detection (Q)
|
86% |
14765
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
10927
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
16169
192.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20212
155.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4398
33.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
32434
258.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53053
68.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39155
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
56765
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6204
229.7 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
960
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4976
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
6805
136.7 IPS |
