Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
13801
Single Precision Score
13658
Half Precision Score
33347
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bmol |
| Upload Date | April 02 2025 01:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| 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% |
6825
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6676
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
18439
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9112
147.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9528
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26026
421.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28900
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
28796
33.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
116606
136.5 IPS |
|
|
Object Detection (SP)
|
100% |
8738
693.1 IPS |
|
|
Object Detection (HP)
|
100% |
8039
637.7 IPS |
|
|
Object Detection (Q)
|
88% |
19038
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
18608
221.1 IPS |
|
|
Face Detection (HP)
|
100% |
17904
212.7 IPS |
|
|
Face Detection (Q)
|
100% |
47750
567.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22843
176.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23692
182.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
68575
533.7 IPS |
|
|
Style Transfer (SP)
|
100% |
75896
97.6 IPS |
|
|
Style Transfer (HP)
|
100% |
75496
97.1 IPS |
|
|
Style Transfer (Q)
|
98% |
265843
342.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13786
509.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13324
492.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38019
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4514
6.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4544
6.06 KIPS |
|
|
Text Classification (Q)
|
92% |
5546
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
7954
137.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7915
136.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8697
149.8 IPS |
