Micro-Star International Co., Ltd. MS-7D18
Geekbench AI Score
2090
Single Precision Score
1063
Half Precision Score
4337
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Rakha |
| Upload Date | December 14 2025 01:27 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D18 |
| Motherboard | Micro-Star International Co., Ltd. B560M PRO-VDH WIFI (MS-7D18) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
99% |
5066
945.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3592
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3569
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2761
3.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
13106
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.3 IPS |
|
|
Object Detection (HP)
|
100% |
471
37.4 IPS |
|
|
Object Detection (Q)
|
86% |
3700
297.4 IPS |
|
|
Face Detection (SP)
|
100% |
2631
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
960
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
5779
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3948
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1458
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9706
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7602
9.77 IPS |
|
|
Style Transfer (HP)
|
100% |
6495
8.35 IPS |
|
|
Style Transfer (Q)
|
98% |
13187
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1245
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4308
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
1270
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
679
906.4 IPS |
|
|
Text Classification (Q)
|
97% |
459
615.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1373
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
1826
36.7 IPS |
