Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
6465
Single Precision Score
6469
Half Precision Score
8925
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Blazhenov |
| Upload Date | August 07 2025 12:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3627
674.6 IPS |
|
|
Image Classification (HP)
|
100% |
3932
731.1 IPS |
|
|
Image Classification (Q)
|
100% |
6333
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5401
87.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5238
84.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9718
158.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10815
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10832
12.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
25412
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
4182
331.7 IPS |
|
|
Object Detection (HP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (Q)
|
87% |
6897
553.2 IPS |
|
|
Face Detection (SP)
|
100% |
9093
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
9183
109.1 IPS |
|
|
Face Detection (Q)
|
97% |
20526
244.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10620
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10933
84.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
22282
175.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32046
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31890
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
72412
93.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6084
224.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12443
460.9 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (Q)
|
91% |
293
393.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2464
42.4 IPS |
