Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
3623
Single Precision Score
1008
Half Precision Score
8439
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 02:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2250
418.4 IPS |
|
|
Image Classification (HP)
|
100% |
263
49.0 IPS |
|
|
Image Classification (Q)
|
97% |
7825
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (Q)
|
99% |
4266
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5835
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4103
4.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
26950
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.5 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
86% |
7467
600.1 IPS |
|
|
Face Detection (SP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
514
6.10 IPS |
|
|
Face Detection (Q)
|
97% |
16091
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6987
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1303
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16638
132.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14674
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10529
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23122
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2872
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2160
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6114
226.4 IPS |
|
|
Text Classification (SP)
|
100% |
1959
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
628
838.2 IPS |
|
|
Text Classification (Q)
|
97% |
2017
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2943
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3573
71.8 IPS |
