Micro-Star International Co., Ltd. MS-7C89
Geekbench AI Score
1228
Single Precision Score
675
Half Precision Score
1985
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | April 06 2025 06:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10100F |
| 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% |
909
169.1 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
1220
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1648
1.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
4071
4.81 IPS |
|
|
Object Detection (SP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
58% |
1260
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
598
7.11 IPS |
|
|
Face Detection (Q)
|
96% |
2980
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2189
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1031
7.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
3773
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4889
6.29 IPS |
|
|
Style Transfer (HP)
|
100% |
4203
5.40 IPS |
|
|
Style Transfer (Q)
|
87% |
5791
7.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1414
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
933
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.4 IPS |
|
|
Text Classification (Q)
|
97% |
868
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (Q)
|
68% |
1141
22.0 IPS |
