Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
4150
Single Precision Score
1575
Half Precision Score
6288
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | December 16 2025 02:59 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING EDGE WIFI (MS-7C91) |
| Power Plan | Mximo rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3450
641.5 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.2 IPS |
|
|
Image Classification (Q)
|
96% |
6205
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
9358
152.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9217
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
14715
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
58% |
4045
442.0 IPS |
|
|
Face Detection (SP)
|
100% |
6331
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (Q)
|
96% |
9153
109.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9130
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1950
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12834
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17432
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14883
19.1 IPS |
|
|
Style Transfer (Q)
|
87% |
18190
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2504
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3645
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
670
894.1 IPS |
|
|
Text Classification (Q)
|
97% |
1312
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2203
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2737
52.9 IPS |
