Micro-Star International Co., Ltd. MS-7B25
Geekbench AI Score
969
Single Precision Score
466
Half Precision Score
1359
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| Upload Date | September 09 2025 02:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B25 |
| Motherboard | Micro-Star International Co., Ltd. H310-F PRO (MS-7B25) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
995
185.1 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
96% |
780
145.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
1411
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1579
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1050
1.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
2622
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
588
46.6 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
58% |
851
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.46 IPS |
|
|
Face Detection (Q)
|
96% |
2623
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1532
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
608
4.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
2756
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3296
4.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2794
3.59 IPS |
|
|
Style Transfer (Q)
|
87% |
4056
5.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
708
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1397
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.5 IPS |
|
|
Text Classification (HP)
|
100% |
454
605.6 IPS |
|
|
Text Classification (Q)
|
97% |
288
385.3 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
68% |
742
14.3 IPS |
