Living Room PC with ryzen 9 5950x (Mid 2025) Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
6325
Single Precision Score
6398
Half Precision Score
8629
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | paz_levi |
| Upload Date | September 06 2025 06:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3305
614.6 IPS |
|
|
Image Classification (HP)
|
100% |
3310
615.6 IPS |
|
|
Image Classification (Q)
|
100% |
5859
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5101
82.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5399
87.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9636
156.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11026
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11241
13.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
24498
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3999
317.2 IPS |
|
|
Object Detection (HP)
|
100% |
4270
338.7 IPS |
|
|
Object Detection (Q)
|
87% |
6860
550.2 IPS |
|
|
Face Detection (SP)
|
100% |
8426
100.1 IPS |
|
|
Face Detection (HP)
|
100% |
8623
102.5 IPS |
|
|
Face Detection (Q)
|
97% |
19943
237.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11138
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11283
86.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
20988
165.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32431
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32372
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
69406
89.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6210
229.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6322
233.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11986
444.0 IPS |
|
|
Text Classification (SP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (Q)
|
91% |
293
394.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2800
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2365
40.7 IPS |
