Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
4903
Single Precision Score
1753
Half Precision Score
6558
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 28 2025 12:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D27 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 ACE (MS-7D27) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KS |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3872
720.1 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (Q)
|
99% |
6641
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3229
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8601
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4839
5.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
28494
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
3562
282.5 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
86% |
6047
486.0 IPS |
|
|
Face Detection (SP)
|
100% |
9436
112.1 IPS |
|
|
Face Detection (HP)
|
100% |
1966
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
10171
121.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11144
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2428
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17330
138.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20661
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12040
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25817
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3667
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2333
86.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5105
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
587
786.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2924
58.7 IPS |
