Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
52
Single Precision Score
51
Half Precision Score
54
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | January 12 2025 04:32 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% |
14
2.64 IPS |
|
|
Image Classification (HP)
|
100% |
14
2.69 IPS |
|
|
Image Classification (Q)
|
99% |
14
2.69 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
81
1.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
81
1.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
646
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
661
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
792
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
23
1.80 IPS |
|
|
Object Detection (HP)
|
100% |
22
1.73 IPS |
|
|
Object Detection (Q)
|
85% |
22
1.78 IPS |
|
|
Face Detection (SP)
|
100% |
86
1.03 IPS |
|
|
Face Detection (HP)
|
100% |
85
1.02 IPS |
|
|
Face Detection (Q)
|
97% |
81
0.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
93
0.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
92
0.71 IPS |
|
|
Depth Estimation (Q)
|
63% |
81
0.76 IPS |
|
|
Style Transfer (SP)
|
100% |
974
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
978
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
1844
2.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54
1.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54
1.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
54
2.01 IPS |
|
|
Text Classification (SP)
|
100% |
3
3.45 IPS |
|
|
Text Classification (HP)
|
100% |
3
3.53 IPS |
|
|
Text Classification (Q)
|
92% |
3
3.81 IPS |
|
|
Machine Translation (SP)
|
100% |
7
0.13 IPS |
|
|
Machine Translation (HP)
|
100% |
7
0.12 IPS |
|
|
Machine Translation (Q)
|
58% |
6
0.13 IPS |
