Micro-Star International Co., Ltd. MS-7C84
Geekbench AI Score
3455
Single Precision Score
1404
Half Precision Score
5556
Quantized Score
Geekbench AI 1.7.0 Corporate for Windows AVX2
Result Information
| Upload Date | February 12 2026 01:06 PM |
| Views | 5 |
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-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| 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 | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2840
528.2 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
96% |
5154
962.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
7503
122.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7575
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5899
6.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
18495
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2725
216.2 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
58% |
4173
455.9 IPS |
|
|
Face Detection (SP)
|
100% |
6021
71.5 IPS |
|
|
Face Detection (HP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (Q)
|
96% |
7688
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7620
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1759
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10624
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16011
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13763
17.7 IPS |
|
|
Style Transfer (Q)
|
87% |
18638
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1811
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3014
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
1059
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.3 IPS |
|
|
Text Classification (Q)
|
97% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2278
44.0 IPS |
