Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
3102
Single Precision Score
1471
Half Precision Score
4815
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Ricktheslickster |
| Upload Date | November 25 2025 01:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D14 |
| Motherboard | Micro-Star International Co., Ltd. A520M PRO (MS-7D14) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2437
453.2 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (Q)
|
96% |
4202
784.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
4728
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4748
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3923
4.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
9536
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
58% |
2898
316.7 IPS |
|
|
Face Detection (SP)
|
100% |
4160
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (Q)
|
96% |
7060
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4880
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1827
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8729
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11433
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9478
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
15075
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3536
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2679
51.8 IPS |
