Micro-Star International Co., Ltd. MS-7C89
Geekbench AI Score
1835
Single Precision Score
1859
Half Precision Score
3274
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | April 06 2025 06:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10100F CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C89 |
| Motherboard | Micro-Star International Co., Ltd. H410M PRO-VH (MS-7C89) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1003
186.5 IPS |
|
|
Image Classification (HP)
|
100% |
1097
204.0 IPS |
|
|
Image Classification (Q)
|
100% |
2169
403.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
904
14.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2023
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2699
3.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
5496
6.45 IPS |
|
|
Object Detection (SP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (HP)
|
100% |
1076
85.4 IPS |
|
|
Object Detection (Q)
|
87% |
2266
181.8 IPS |
|
|
Face Detection (SP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
5030
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2990
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3079
23.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
5812
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7582
9.75 IPS |
|
|
Style Transfer (HP)
|
100% |
7606
9.78 IPS |
|
|
Style Transfer (Q)
|
98% |
15286
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3167
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (Q)
|
91% |
1021
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1740
30.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1797
31.0 IPS |
