Micro-Star International Co., Ltd. MS-7D08
Geekbench AI Score
2402
Single Precision Score
1199
Half Precision Score
5437
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11600KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D08 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z590 TORPEDO (MS-7D08) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1769
329.0 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
99% |
5359
999.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2408
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3621
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3034
3.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
15865
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1666
132.2 IPS |
|
|
Object Detection (HP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (Q)
|
86% |
5200
417.9 IPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
7431
88.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4738
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1725
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11883
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8821
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7299
9.38 IPS |
|
|
Style Transfer (Q)
|
98% |
18097
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3471
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
1432
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1468
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1742
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2607
52.4 IPS |
