Define 7 Compact Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
6419
Single Precision Score
6305
Half Precision Score
13768
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | DJENT |
| Upload Date | March 06 2025 11:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. MAG H670 TOMAHAWK WIFI DDR4(MS-7D25) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4260
792.3 IPS |
|
|
Image Classification (HP)
|
100% |
4191
779.4 IPS |
|
|
Image Classification (Q)
|
100% |
8669
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5044
81.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4945
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7259
117.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8541
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
8552
9.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
31688
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3789
300.5 IPS |
|
|
Object Detection (HP)
|
100% |
3510
278.4 IPS |
|
|
Object Detection (Q)
|
88% |
9573
767.4 IPS |
|
|
Face Detection (SP)
|
100% |
9968
118.4 IPS |
|
|
Face Detection (HP)
|
100% |
9951
118.2 IPS |
|
|
Face Detection (Q)
|
100% |
22815
271.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10383
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10485
80.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
24334
189.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16273
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15809
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
54511
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5422
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5372
198.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16432
608.5 IPS |
|
|
Text Classification (SP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
92% |
5740
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4738
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4508
77.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4492
77.4 IPS |
