Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
7440
Single Precision Score
7436
Half Precision Score
16486
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | January 26 2026 10:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900KF |
| System Information | |
|---|---|
| Operating System | Ubuntu Resolute Raccoon (development branch) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4614
858.0 IPS |
|
|
Image Classification (HP)
|
100% |
4616
858.4 IPS |
|
|
Image Classification (Q)
|
100% |
10120
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5858
95.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5863
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10730
173.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8597
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8625
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31761
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
4434
351.7 IPS |
|
|
Object Detection (HP)
|
100% |
4419
350.5 IPS |
|
|
Object Detection (Q)
|
88% |
10903
874.0 IPS |
|
|
Face Detection (SP)
|
100% |
12231
145.3 IPS |
|
|
Face Detection (HP)
|
100% |
12300
146.1 IPS |
|
|
Face Detection (Q)
|
100% |
24768
294.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11331
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11334
87.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
28790
223.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25591
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25719
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
87427
112.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5465
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16664
617.1 IPS |
|
|
Text Classification (SP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5791
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6603
113.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6554
112.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6559
113.0 IPS |
