Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
2809
Single Precision Score
2708
Half Precision Score
1840
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 02:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
2215
411.9 IPS |
|
|
Image Classification (HP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (Q)
|
99% |
1403
261.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3040
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3056
49.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1322
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3396
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3456
4.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
4237
4.96 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
100% |
2164
171.6 IPS |
|
|
Object Detection (Q)
|
85% |
1227
98.8 IPS |
|
|
Face Detection (SP)
|
100% |
3758
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
3001
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3244
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3277
25.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2480
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3825
4.92 IPS |
|
|
Style Transfer (HP)
|
100% |
3864
4.97 IPS |
|
|
Style Transfer (Q)
|
98% |
7208
9.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1655
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
1562
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
768
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (Q)
|
58% |
679
15.9 IPS |
