Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
2923
Single Precision Score
1293
Half Precision Score
4631
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | May 06 2025 08:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| 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% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (Q)
|
96% |
4253
794.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
2488
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4305
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3150
3.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
11671
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
58% |
3198
349.4 IPS |
|
|
Face Detection (SP)
|
100% |
3833
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
96% |
7617
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7340
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2021
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10213
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13102
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10973
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
15017
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2249
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1872
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2608
96.6 IPS |
|
|
Text Classification (SP)
|
100% |
1414
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
700
935.0 IPS |
|
|
Text Classification (Q)
|
97% |
1522
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1966
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2481
47.9 IPS |
