Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
14689
Single Precision Score
14680
Half Precision Score
35024
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spark9 |
| Upload Date | May 22 2025 07:38 AM |
| Views | 4 |
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-7D69 |
| Motherboard | Micro-Star International Co., Ltd. MEG X670E ACE (MS-7D69) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7060
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
6978
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
18740
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9840
159.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9680
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26351
427.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
31718
37.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31863
37.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
128796
150.8 IPS |
|
|
Object Detection (SP)
|
100% |
8932
708.5 IPS |
|
|
Object Detection (HP)
|
100% |
8877
704.1 IPS |
|
|
Object Detection (Q)
|
88% |
21480
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
19128
227.3 IPS |
|
|
Face Detection (HP)
|
100% |
18482
219.6 IPS |
|
|
Face Detection (Q)
|
100% |
50089
595.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24568
189.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26132
201.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
72152
561.6 IPS |
|
|
Style Transfer (SP)
|
100% |
80021
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
79984
102.8 IPS |
|
|
Style Transfer (Q)
|
98% |
286935
370.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14926
551.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15193
561.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39234
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
5133
6.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4815
6.43 KIPS |
|
|
Text Classification (Q)
|
92% |
5399
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
8248
142.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8611
148.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9258
159.5 IPS |
