Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
12932
Single Precision Score
13008
Half Precision Score
32105
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ashakin |
| Upload Date | November 13 2025 12:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8194
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
7989
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
19318
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8738
141.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8900
144.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25593
414.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15452
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15720
18.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
62554
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (HP)
|
100% |
8169
648.0 IPS |
|
|
Object Detection (Q)
|
88% |
22377
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
24950
296.5 IPS |
|
|
Face Detection (HP)
|
100% |
24782
294.5 IPS |
|
|
Face Detection (Q)
|
100% |
52342
621.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20066
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20188
155.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
56846
442.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43544
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
43869
56.4 IPS |
|
|
Style Transfer (Q)
|
98% |
155310
200.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9716
358.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9898
365.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29912
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
6303
8.41 KIPS |
|
|
Text Classification (HP)
|
100% |
6331
8.45 KIPS |
|
|
Text Classification (Q)
|
92% |
8939
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
10965
188.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11053
190.4 IPS |
|
|
Machine Translation (Q)
|
100% |
13606
234.4 IPS |
