Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
2765
Single Precision Score
2755
Half Precision Score
2781
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | November 20 2024 12:56 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 24.10 |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| 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 | 121.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1851
344.2 IPS |
|
|
Image Classification (HP)
|
100% |
1846
343.4 IPS |
|
|
Image Classification (Q)
|
99% |
1998
372.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3314
53.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1886
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3890
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
7280
8.53 IPS |
|
|
Object Detection (SP)
|
100% |
2122
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
2131
169.0 IPS |
|
|
Object Detection (Q)
|
85% |
2406
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (Q)
|
97% |
3990
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3089
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3068
23.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3555
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3696
4.75 IPS |
|
|
Style Transfer (HP)
|
100% |
3686
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
9442
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2118
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2131
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2960
109.7 IPS |
|
|
Text Classification (SP)
|
100% |
1798
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3699
63.7 IPS |
|
|
Machine Translation (Q)
|
58% |
956
22.4 IPS |
