Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
6280
Single Precision Score
6194
Half Precision Score
13606
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 28 2025 01:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
4034
750.2 IPS |
|
|
Image Classification (HP)
|
100% |
3846
715.2 IPS |
|
|
Image Classification (Q)
|
100% |
8168
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4927
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5090
82.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9096
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7390
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
7366
8.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
18556
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
3758
298.1 IPS |
|
|
Object Detection (HP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (Q)
|
88% |
9178
735.7 IPS |
|
|
Face Detection (SP)
|
100% |
10617
126.2 IPS |
|
|
Face Detection (HP)
|
100% |
10529
125.1 IPS |
|
|
Face Detection (Q)
|
100% |
22162
263.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10109
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10246
78.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
24667
191.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23271
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23863
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
83547
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5011
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15345
568.3 IPS |
|
|
Text Classification (SP)
|
100% |
3833
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3827
5.11 KIPS |
|
|
Text Classification (Q)
|
92% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4362
75.1 IPS |
