Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
4700
Single Precision Score
4719
Half Precision Score
5202
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | March 23 2025 03:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2830
526.3 IPS |
|
|
Image Classification (HP)
|
100% |
2863
532.5 IPS |
|
|
Image Classification (Q)
|
100% |
3579
665.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5247
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9087
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8504
9.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
10383
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
3014
239.1 IPS |
|
|
Object Detection (HP)
|
100% |
2986
236.9 IPS |
|
|
Object Detection (Q)
|
87% |
4017
322.2 IPS |
|
|
Face Detection (SP)
|
100% |
7093
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
7311
86.9 IPS |
|
|
Face Detection (Q)
|
97% |
12355
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8426
64.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
10431
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25085
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25689
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29436
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4940
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5658
209.6 IPS |
|
|
Text Classification (SP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (Q)
|
91% |
346
464.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2531
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2526
43.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2498
43.0 IPS |
