Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
2481
Single Precision Score
1125
Half Precision Score
3607
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 03:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| 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 WIFI (MS-7C94) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
96% |
2965
553.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2436
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3037
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2631
3.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
6523
7.71 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
100% |
529
41.9 IPS |
|
|
Object Detection (Q)
|
58% |
2566
280.4 IPS |
|
|
Face Detection (SP)
|
100% |
4052
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
5952
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4112
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1506
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6405
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8267
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6688
8.60 IPS |
|
|
Style Transfer (Q)
|
87% |
10999
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2233
82.7 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
585
781.3 IPS |
|
|
Text Classification (Q)
|
97% |
1237
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2669
51.6 IPS |
