Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
7623
Single Precision Score
2715
Half Precision Score
12746
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 01:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5247
975.7 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
99% |
12057
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5310
86.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23307
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14743
17.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
69482
81.5 IPS |
|
|
Object Detection (SP)
|
100% |
5494
435.8 IPS |
|
|
Object Detection (HP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (Q)
|
86% |
14661
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
10013
119.0 IPS |
|
|
Face Detection (HP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
15297
182.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16492
127.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3846
29.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
29318
233.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42155
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30701
39.5 IPS |
|
|
Style Transfer (Q)
|
98% |
47259
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3601
133.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6329
234.4 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2003
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4576
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
6460
129.8 IPS |
