Micro-Star International Co., Ltd. MS-7C09
Geekbench AI Score
293
Single Precision Score
222
Half Precision Score
507
Quantized Score
Geekbench AI 1.4.0 Corporate for Windows x86 (64-bit)
Result Information
| Upload Date | July 15 2025 09:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron G4900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C09 |
| Motherboard | Micro-Star International Co., Ltd. H310M PRO-VDH PLUS (MS-7C09) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Celeron G4900 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
96% |
364
68.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
359
5.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
310
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
285
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
669
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.48 IPS |
|
|
Object Detection (Q)
|
58% |
261
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
510
6.06 IPS |
|
|
Face Detection (HP)
|
100% |
333
3.96 IPS |
|
|
Face Detection (Q)
|
96% |
804
9.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
437
3.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
320
2.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
806
6.42 IPS |
|
|
Style Transfer (SP)
|
100% |
862
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
827
1.06 IPS |
|
|
Style Transfer (Q)
|
87% |
1537
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
417
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.7 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.8 IPS |
|
|
Text Classification (Q)
|
97% |
205
275.0 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.47 IPS |
|
|
Machine Translation (HP)
|
100% |
202
3.48 IPS |
|
|
Machine Translation (Q)
|
68% |
580
11.2 IPS |
