Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
14956
Single Precision Score
14686
Half Precision Score
35861
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | October 25 2025 02:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 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 9950X |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7396
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7064
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
18035
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10454
169.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9219
149.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26595
431.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32161
37.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32086
37.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
126760
148.4 IPS |
|
|
Object Detection (SP)
|
100% |
8557
678.8 IPS |
|
|
Object Detection (HP)
|
100% |
8469
671.8 IPS |
|
|
Object Detection (Q)
|
88% |
20573
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
17931
213.1 IPS |
|
|
Face Detection (HP)
|
100% |
17610
209.2 IPS |
|
|
Face Detection (Q)
|
100% |
52581
624.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23730
182.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24687
190.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
71988
560.3 IPS |
|
|
Style Transfer (SP)
|
100% |
82750
106.4 IPS |
|
|
Style Transfer (HP)
|
100% |
82443
106.0 IPS |
|
|
Style Transfer (Q)
|
98% |
301066
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15969
589.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15570
574.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41450
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5233
6.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5095
6.80 KIPS |
|
|
Text Classification (Q)
|
92% |
6205
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
8947
154.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9278
159.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9595
165.3 IPS |
