Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
6949
Single Precision Score
6911
Half Precision Score
15319
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 02:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| 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 | 125.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4348
808.6 IPS |
|
|
Image Classification (HP)
|
100% |
4361
811.0 IPS |
|
|
Image Classification (Q)
|
100% |
9279
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5132
83.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5099
82.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9068
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8398
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
30626
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4059
321.9 IPS |
|
|
Object Detection (HP)
|
100% |
3990
316.5 IPS |
|
|
Object Detection (Q)
|
88% |
9873
791.4 IPS |
|
|
Face Detection (SP)
|
100% |
10490
124.6 IPS |
|
|
Face Detection (HP)
|
100% |
10273
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
22008
261.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10594
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10647
82.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27039
210.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25032
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25092
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
86966
112.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5382
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5341
197.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16370
606.2 IPS |
|
|
Text Classification (SP)
|
100% |
4079
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
92% |
6139
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5657
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5594
96.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5380
92.7 IPS |
