Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
10416
Single Precision Score
10296
Half Precision Score
27678
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MellowB |
| Upload Date | May 26 2025 09:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 59.50 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6362
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6035
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
15967
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7015
113.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6858
111.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19618
318.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18713
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19053
22.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
78414
91.8 IPS |
|
|
Object Detection (SP)
|
100% |
6125
485.9 IPS |
|
|
Object Detection (HP)
|
100% |
6016
477.2 IPS |
|
|
Object Detection (Q)
|
88% |
17121
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
11849
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
11531
137.0 IPS |
|
|
Face Detection (Q)
|
100% |
42722
507.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15907
122.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15439
119.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
50526
393.2 IPS |
|
|
Style Transfer (SP)
|
100% |
50040
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49944
64.2 IPS |
|
|
Style Transfer (Q)
|
98% |
201305
259.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10247
378.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10208
376.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30399
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4166
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4203
5.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5546
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
7300
125.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7401
127.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8565
147.5 IPS |
