Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
28
Single Precision Score
29
Half Precision Score
24
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | January 12 2025 05:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| 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 | 5.75 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 6.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13
2.44 IPS |
|
|
Image Classification (HP)
|
100% |
14
2.55 IPS |
|
|
Image Classification (Q)
|
97% |
12
2.25 IPS |
|
|
Image Segmentation (SP)
|
100% |
34
0.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
34
0.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
27
0.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
54
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
53
0.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
48
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
17
1.37 IPS |
|
|
Object Detection (HP)
|
100% |
17
1.36 IPS |
|
|
Object Detection (Q)
|
87% |
15
1.22 IPS |
|
|
Face Detection (SP)
|
100% |
65
0.77 IPS |
|
|
Face Detection (HP)
|
100% |
66
0.78 IPS |
|
|
Face Detection (Q)
|
97% |
58
0.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
54
0.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
55
0.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
40
0.37 IPS |
|
|
Style Transfer (SP)
|
100% |
172
0.22 IPS |
|
|
Style Transfer (HP)
|
100% |
183
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
164
0.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30
1.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30
1.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
25
0.94 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.87 IPS |
|
|
Text Classification (HP)
|
100% |
4
5.55 IPS |
|
|
Text Classification (Q)
|
91% |
4
5.91 IPS |
|
|
Machine Translation (SP)
|
100% |
14
0.24 IPS |
|
|
Machine Translation (HP)
|
100% |
14
0.24 IPS |
|
|
Machine Translation (Q)
|
58% |
10
0.23 IPS |
