Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
13720
Single Precision Score
24515
Half Precision Score
11561
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 05:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 |
| 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% |
5962
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
10623
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
5578
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7569
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10088
163.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7297
118.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
69520
81.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
233022
271.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
68301
80.0 IPS |
|
|
Object Detection (SP)
|
100% |
7525
596.9 IPS |
|
|
Object Detection (HP)
|
100% |
11801
936.1 IPS |
|
|
Object Detection (Q)
|
87% |
6865
550.9 IPS |
|
|
Face Detection (SP)
|
100% |
17054
202.6 IPS |
|
|
Face Detection (HP)
|
100% |
26190
311.2 IPS |
|
|
Face Detection (Q)
|
97% |
15814
188.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
37056
285.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
82291
634.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
31589
252.6 IPS |
|
|
Style Transfer (SP)
|
100% |
109768
141.1 IPS |
|
|
Style Transfer (HP)
|
100% |
369085
474.5 IPS |
|
|
Style Transfer (Q)
|
98% |
92957
119.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21502
794.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41068
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17424
645.2 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3053
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2668
46.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1513
28.4 IPS |
