Micro-Star International Co., Ltd. MS-7B33
Geekbench AI Score
1533
Single Precision Score
855
Half Precision Score
1974
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 09:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B33 |
| Motherboard | Micro-Star International Co., Ltd. H310M PRO-VH (MS-7B33) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1015
188.7 IPS |
|
|
Image Classification (HP)
|
100% |
308
57.2 IPS |
|
|
Image Classification (Q)
|
96% |
1517
283.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
1623
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3309
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2993
3.49 IPS |
|
|
Pose Estimation (Q)
|
87% |
7040
8.32 IPS |
|
|
Object Detection (SP)
|
100% |
965
76.5 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
86% |
1043
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
872
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
645
7.67 IPS |
|
|
Face Detection (Q)
|
96% |
1741
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3003
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1215
9.36 IPS |
|
|
Depth Estimation (Q)
|
77% |
2807
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8097
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7118
9.15 IPS |
|
|
Style Transfer (Q)
|
87% |
6853
8.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1770
65.6 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
508
678.7 IPS |
|
|
Text Classification (Q)
|
97% |
916
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
60% |
916
20.4 IPS |
