Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
2900
Single Precision Score
1376
Half Precision Score
4600
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 02:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500GT with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR MAX WIFI (MS-7C94) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500GT with Radeon Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2472
459.8 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.5 IPS |
|
|
Image Classification (Q)
|
96% |
3989
744.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
4632
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4279
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3577
4.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
9354
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.3 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.2 IPS |
|
|
Object Detection (Q)
|
58% |
2779
303.6 IPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
6691
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5882
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1963
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8547
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10229
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8681
11.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12718
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3591
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
1719
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
889
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1405
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1908
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2409
46.5 IPS |
