Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
3692
Single Precision Score
995
Half Precision Score
8850
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | January 26 2026 10:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2218
412.6 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
97% |
8463
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
3900
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5873
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4094
4.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
27647
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
2395
189.9 IPS |
|
|
Object Detection (HP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (Q)
|
86% |
7633
613.4 IPS |
|
|
Face Detection (SP)
|
100% |
4477
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (Q)
|
97% |
17779
212.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7195
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1334
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17098
136.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15036
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10651
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33448
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2908
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5656
209.4 IPS |
|
|
Text Classification (SP)
|
100% |
1968
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
637
850.5 IPS |
|
|
Text Classification (Q)
|
97% |
1790
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4114
82.7 IPS |
