Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
3572
Single Precision Score
1516
Half Precision Score
6247
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | March 17 2026 03:46 PM |
| Views | 3 |
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-7C95 |
| Motherboard | Micro-Star International Co., Ltd. PRO B550M-VC WIFI (MS-7C95) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2437
453.2 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
96% |
5548
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
7966
129.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7790
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
6053
7.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
18878
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (Q)
|
58% |
4430
484.1 IPS |
|
|
Face Detection (SP)
|
100% |
5194
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
9409
112.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9072
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2206
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14251
113.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21093
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17983
23.1 IPS |
|
|
Style Transfer (Q)
|
87% |
16438
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2028
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3471
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
1133
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.5 IPS |
|
|
Text Classification (Q)
|
97% |
1149
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2787
53.8 IPS |
