Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
2812
Single Precision Score
1371
Half Precision Score
3922
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 05:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C52 |
| Motherboard | Micro-Star International Co., Ltd. B450M-A PRO MAX II (MS-7C52) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2583
480.4 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (Q)
|
96% |
3905
729.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2252
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4095
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3529
4.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
8850
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1881
149.2 IPS |
|
|
Object Detection (HP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (Q)
|
58% |
2557
279.4 IPS |
|
|
Face Detection (SP)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
1300
15.4 IPS |
|
|
Face Detection (Q)
|
96% |
5462
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5781
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1881
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8055
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10719
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9636
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
9684
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1911
70.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2700
100.0 IPS |
|
|
Text Classification (SP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
724
966.4 IPS |
|
|
Text Classification (Q)
|
97% |
1411
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2672
51.6 IPS |
