Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
7072
Single Precision Score
6999
Half Precision Score
9298
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | December 16 2025 03:02 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
4127
767.5 IPS |
|
|
Image Classification (HP)
|
100% |
4181
777.5 IPS |
|
|
Image Classification (Q)
|
100% |
6515
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5761
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5673
92.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10391
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12088
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12071
14.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
27494
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
4534
359.6 IPS |
|
|
Object Detection (HP)
|
100% |
4834
383.4 IPS |
|
|
Object Detection (Q)
|
87% |
7512
602.5 IPS |
|
|
Face Detection (SP)
|
100% |
9339
111.0 IPS |
|
|
Face Detection (HP)
|
100% |
9132
108.5 IPS |
|
|
Face Detection (Q)
|
97% |
21210
252.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12092
93.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12091
93.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
23059
181.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34902
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34239
44.0 IPS |
|
|
Style Transfer (Q)
|
98% |
77767
100.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6809
251.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6882
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13224
489.8 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (Q)
|
91% |
301
404.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3025
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2283
39.3 IPS |
