Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
1797
Single Precision Score
1812
Half Precision Score
1034
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | kykint |
| Upload Date | June 21 2025 01:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Micro-Star International Co., Ltd. MS-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR MAX (MS-7B89) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (Q)
|
99% |
630
117.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2033
2.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1761
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.7 IPS |
|
|
Object Detection (HP)
|
100% |
1366
108.4 IPS |
|
|
Object Detection (Q)
|
85% |
650
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2190
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
1715
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2026
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2036
15.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1316
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2518
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2521
3.24 IPS |
|
|
Style Transfer (Q)
|
98% |
3621
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1483
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
961
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1655
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
592
795.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (Q)
|
58% |
548
12.9 IPS |
