Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
2676
Single Precision Score
1194
Half Precision Score
4647
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 04:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2040
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (Q)
|
96% |
4314
805.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
5803
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5035
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4187
4.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
10546
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
58% |
2885
315.2 IPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
1049
12.5 IPS |
|
|
Face Detection (Q)
|
96% |
7109
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5480
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1694
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10721
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12181
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10486
13.5 IPS |
|
|
Style Transfer (Q)
|
87% |
14072
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1518
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1480
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2934
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
594
793.0 IPS |
|
|
Text Classification (Q)
|
97% |
936
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2097
40.5 IPS |
