Micro-Star International Co., Ltd. MS-7B80
Geekbench AI Score
1104
Single Precision Score
1092
Half Precision Score
625
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 04 2025 01:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. MS-7B80 |
| Motherboard | Micro-Star International Co., Ltd. H310I PRO (MS-7B80) |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
792
147.3 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.6 IPS |
|
|
Image Classification (Q)
|
99% |
398
74.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
456
7.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
1295
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1267
1.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
1088
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (HP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (Q)
|
85% |
444
35.7 IPS |
|
|
Face Detection (SP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
919
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1336
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1272
9.80 IPS |
|
|
Depth Estimation (Q)
|
63% |
861
8.07 IPS |
|
|
Style Transfer (SP)
|
100% |
1783
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1785
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2295
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
754
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
722
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
618
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
333
447.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
58% |
279
6.55 IPS |
