Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
14632
Single Precision Score
15136
Half Precision Score
36063
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | October 09 2025 12:41 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 | Storage Benchmark Power Scheme based on Balanced |
| 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% |
7180
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7170
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
19646
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9209
149.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10469
169.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26755
433.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32023
37.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31402
36.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
124085
145.3 IPS |
|
|
Object Detection (SP)
|
100% |
8504
674.5 IPS |
|
|
Object Detection (HP)
|
100% |
8335
661.1 IPS |
|
|
Object Detection (Q)
|
88% |
20668
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
18336
217.9 IPS |
|
|
Face Detection (HP)
|
100% |
19592
232.8 IPS |
|
|
Face Detection (Q)
|
100% |
55329
657.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24996
192.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25353
195.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
67448
525.0 IPS |
|
|
Style Transfer (SP)
|
100% |
83988
108.0 IPS |
|
|
Style Transfer (HP)
|
100% |
84457
108.6 IPS |
|
|
Style Transfer (Q)
|
98% |
302102
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15429
569.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15848
585.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40146
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5145
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5535
7.39 KIPS |
|
|
Text Classification (Q)
|
92% |
6355
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
8178
140.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8731
150.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9596
165.3 IPS |
