MouseComputer Co.,Ltd. IStDxi-M022
Geekbench AI Score
988
Single Precision Score
541
Half Precision Score
1321
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 23 2025 10:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | MouseComputer Co.,Ltd. IStDxi-M022 |
| Motherboard | MouseComputer Co.,Ltd. H110M-S03 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
685
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
96% |
1121
209.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
955
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1507
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1220
1.42 IPS |
|
|
Pose Estimation (Q)
|
86% |
2598
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
58% |
749
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
584
6.93 IPS |
|
|
Face Detection (Q)
|
96% |
2293
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1861
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
799
6.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
2687
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3947
5.07 IPS |
|
|
Style Transfer (HP)
|
100% |
2741
3.52 IPS |
|
|
Style Transfer (Q)
|
87% |
4797
6.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1264
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.3 IPS |
|
|
Text Classification (HP)
|
100% |
355
474.2 IPS |
|
|
Text Classification (Q)
|
97% |
220
294.9 IPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (Q)
|
68% |
947
18.3 IPS |
