Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
4230
Single Precision Score
4202
Half Precision Score
7535
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | May 06 2025 08:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C52 |
| Motherboard | Micro-Star International Co., Ltd. B450M-A PRO MAX (MS-7C52) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2641
491.2 IPS |
|
|
Image Classification (HP)
|
100% |
2602
483.8 IPS |
|
|
Image Classification (Q)
|
100% |
5271
980.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5643
91.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5699
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5708
6.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
13839
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (Q)
|
87% |
5191
416.3 IPS |
|
|
Face Detection (SP)
|
100% |
4699
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
4718
56.1 IPS |
|
|
Face Detection (Q)
|
97% |
14463
172.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6697
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6736
51.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
13729
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16117
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16096
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39353
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3217
118.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3203
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8052
298.3 IPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (Q)
|
91% |
1142
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3825
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3730
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3847
66.3 IPS |
