Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
1232
Single Precision Score
1219
Half Precision Score
974
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | rotespferd |
| Upload Date | December 05 2025 02:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3800X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING EDGE WIFI (MS-7C37) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.56 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1054
196.0 IPS |
|
|
Image Classification (HP)
|
100% |
1000
186.0 IPS |
|
|
Image Classification (Q)
|
99% |
718
134.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
840
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1847
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1824
2.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
2230
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
918
72.8 IPS |
|
|
Object Detection (HP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (Q)
|
85% |
553
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
1364
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1228
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1304
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1305
10.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1140
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1782
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1752
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3289
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
977
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (Q)
|
92% |
510
685.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (Q)
|
58% |
451
10.6 IPS |
