Living Room PC with ryzen 9 5950x (Mid 2025) Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
4253
Single Precision Score
1658
Half Precision Score
6674
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | paz_levi |
| Upload Date | September 06 2025 06:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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% |
3315
616.4 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
96% |
5977
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
8431
137.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11134
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6702
7.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
20511
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
3397
269.4 IPS |
|
|
Object Detection (HP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (Q)
|
58% |
4798
524.3 IPS |
|
|
Face Detection (SP)
|
100% |
6119
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
1473
17.5 IPS |
|
|
Face Detection (Q)
|
96% |
9627
114.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9963
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2427
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15170
121.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21498
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18754
24.1 IPS |
|
|
Style Transfer (Q)
|
87% |
19189
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2306
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1890
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3844
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
651
868.6 IPS |
|
|
Text Classification (Q)
|
97% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2736
52.9 IPS |
