Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
5094
Single Precision Score
5109
Half Precision Score
7416
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 07:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR (MS-7B89) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.75 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3312
615.8 IPS |
|
|
Image Classification (HP)
|
100% |
3313
616.1 IPS |
|
|
Image Classification (Q)
|
100% |
4527
841.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3653
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5104
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6038
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
6064
7.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
12000
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
3078
244.2 IPS |
|
|
Object Detection (HP)
|
100% |
3097
245.6 IPS |
|
|
Object Detection (Q)
|
87% |
4909
393.7 IPS |
|
|
Face Detection (SP)
|
100% |
7320
87.0 IPS |
|
|
Face Detection (HP)
|
100% |
7333
87.1 IPS |
|
|
Face Detection (Q)
|
97% |
13858
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7893
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8057
62.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
13430
106.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17301
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17807
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34409
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3798
140.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7092
262.7 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (Q)
|
91% |
1712
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4861
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4764
82.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4758
82.0 IPS |
