Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
7226
Single Precision Score
7390
Half Precision Score
15279
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Medved |
| Upload Date | December 02 2024 10:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E25 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK MAX WIFI (MS-7E25) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4454
828.3 IPS |
|
|
Image Classification (HP)
|
100% |
4656
865.9 IPS |
|
|
Image Classification (Q)
|
100% |
9600
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3711
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5799
94.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10529
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9347
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9326
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33578
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
4337
344.0 IPS |
|
|
Object Detection (HP)
|
100% |
4468
354.4 IPS |
|
|
Object Detection (Q)
|
88% |
10150
813.7 IPS |
|
|
Face Detection (SP)
|
100% |
14092
167.4 IPS |
|
|
Face Detection (HP)
|
100% |
14010
166.5 IPS |
|
|
Face Detection (Q)
|
100% |
25694
305.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12189
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12172
93.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
28351
220.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27325
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20822
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
52824
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5774
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5800
214.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17154
635.3 IPS |
|
|
Text Classification (SP)
|
100% |
4152
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (Q)
|
92% |
5996
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5150
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5122
88.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5086
87.6 IPS |
