Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
1809
Single Precision Score
1815
Half Precision Score
1030
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | kykint |
| Upload Date | June 21 2025 01:12 PM |
| Views | 3 |
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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (Q)
|
99% |
629
117.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2013
2.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1757
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (Q)
|
85% |
647
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
1689
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2044
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2056
15.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1297
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2530
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
2517
3.24 IPS |
|
|
Style Transfer (Q)
|
98% |
3623
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
962
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1642
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
592
795.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2209
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (Q)
|
58% |
546
12.8 IPS |
