Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
13090
Single Precision Score
13095
Half Precision Score
31411
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:36 PM |
| Views | 2 |
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-7E61 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850M MORTAR WIFI (MS-7E61) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6572
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6306
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
16170
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9182
148.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9462
153.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24544
397.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27976
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27560
32.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
115216
134.9 IPS |
|
|
Object Detection (SP)
|
100% |
7742
614.1 IPS |
|
|
Object Detection (HP)
|
100% |
7556
599.4 IPS |
|
|
Object Detection (Q)
|
88% |
19029
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
16599
197.2 IPS |
|
|
Face Detection (HP)
|
100% |
16779
199.4 IPS |
|
|
Face Detection (Q)
|
100% |
48512
576.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22713
175.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22522
173.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
59019
459.3 IPS |
|
|
Style Transfer (SP)
|
100% |
72960
93.8 IPS |
|
|
Style Transfer (HP)
|
100% |
74540
95.8 IPS |
|
|
Style Transfer (Q)
|
98% |
262243
338.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13043
481.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13591
501.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35079
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4408
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
92% |
5025
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
7151
123.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7630
131.4 IPS |
|
|
Machine Translation (Q)
|
100% |
8120
139.9 IPS |
