Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
4494
Single Precision Score
4517
Half Precision Score
6749
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 24 2025 07:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D14 |
| Motherboard | Micro-Star International Co., Ltd. A520M PRO (MS-7D14) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (HP)
|
100% |
3029
563.3 IPS |
|
|
Image Classification (Q)
|
100% |
4199
780.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3277
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3293
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4708
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4948
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4966
5.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
10900
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (HP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (Q)
|
87% |
4509
361.6 IPS |
|
|
Face Detection (SP)
|
100% |
6751
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
6615
78.6 IPS |
|
|
Face Detection (Q)
|
97% |
12769
152.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6931
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6912
53.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
12333
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16101
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16006
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32064
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3359
124.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3389
125.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6558
242.9 IPS |
|
|
Text Classification (SP)
|
100% |
2522
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2542
3.39 KIPS |
|
|
Text Classification (Q)
|
91% |
1487
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4057
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4127
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4100
70.6 IPS |
