Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
6964
Single Precision Score
6914
Half Precision Score
9360
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | February 28 2026 12:47 AM |
| Views | 11 |
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% |
3740
695.5 IPS |
|
|
Image Classification (HP)
|
100% |
4030
749.4 IPS |
|
|
Image Classification (Q)
|
100% |
6392
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5925
96.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5744
93.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10250
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12234
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12237
14.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
27796
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
4657
369.4 IPS |
|
|
Object Detection (HP)
|
100% |
4459
353.7 IPS |
|
|
Object Detection (Q)
|
87% |
7250
581.4 IPS |
|
|
Face Detection (SP)
|
100% |
9625
114.4 IPS |
|
|
Face Detection (HP)
|
100% |
9437
112.1 IPS |
|
|
Face Detection (Q)
|
97% |
21177
252.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10614
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11727
90.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
23094
182.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33915
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34511
44.4 IPS |
|
|
Style Transfer (Q)
|
98% |
77224
99.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6793
250.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6804
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13187
488.5 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (Q)
|
91% |
305
409.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3075
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2575
44.3 IPS |
