Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
4267
Single Precision Score
1707
Half Precision Score
5133
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 06:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3324
618.2 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
96% |
4889
912.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2626
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6460
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5311
6.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
12307
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (HP)
|
100% |
828
65.7 IPS |
|
|
Object Detection (Q)
|
58% |
3420
373.7 IPS |
|
|
Face Detection (SP)
|
100% |
9066
107.7 IPS |
|
|
Face Detection (HP)
|
100% |
1865
22.2 IPS |
|
|
Face Detection (Q)
|
96% |
8379
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8744
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2441
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12325
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16015
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13022
16.7 IPS |
|
|
Style Transfer (Q)
|
87% |
16179
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2767
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2371
87.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3117
115.5 IPS |
|
|
Text Classification (SP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2596
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3058
59.1 IPS |
