Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
3606
Single Precision Score
1465
Half Precision Score
5984
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 16 2025 04:50 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D14 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO (MS-7D14) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2733
508.2 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (Q)
|
96% |
5136
959.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
7305
118.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6645
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
5265
6.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
16073
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
58% |
4091
447.0 IPS |
|
|
Face Detection (SP)
|
100% |
6217
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (Q)
|
96% |
9003
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8345
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2037
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12794
102.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15549
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12818
16.5 IPS |
|
|
Style Transfer (Q)
|
87% |
19615
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2109
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3518
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
1287
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
651
868.8 IPS |
|
|
Text Classification (Q)
|
97% |
1128
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2045
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2665
51.5 IPS |
