Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
1837
Single Precision Score
1830
Half Precision Score
1360
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| Upload Date | March 05 2026 09:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-12600KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600KF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1579
293.6 IPS |
|
|
Image Classification (HP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (Q)
|
99% |
1032
192.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1039
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2243
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
2759
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (Q)
|
85% |
986
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
2021
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2030
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
2301
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2070
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2041
15.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1821
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2412
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
2395
3.08 IPS |
|
|
Style Transfer (Q)
|
98% |
4888
6.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1384
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
480
644.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1778
30.6 IPS |
|
|
Machine Translation (Q)
|
58% |
548
12.9 IPS |
