Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
2945
Single Precision Score
2958
Half Precision Score
1766
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | January 26 2026 10:27 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
2226
414.0 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (Q)
|
99% |
1126
210.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3034
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3066
49.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1342
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4160
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4222
4.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
4390
5.14 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
2183
173.1 IPS |
|
|
Object Detection (Q)
|
85% |
1233
99.2 IPS |
|
|
Face Detection (SP)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (Q)
|
97% |
3019
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3880
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3901
30.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2482
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4937
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
5186
6.67 IPS |
|
|
Style Transfer (Q)
|
98% |
7836
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2225
82.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1656
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
1451
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
541
727.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (Q)
|
58% |
689
16.2 IPS |
