Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
3032
Single Precision Score
3017
Half Precision Score
4846
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | egll |
| Upload Date | September 11 2024 03:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10700K CPU @ 3.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. Z490-A PRO (MS-7C75) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2024
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
2015
374.7 IPS |
|
|
Image Classification (Q)
|
100% |
3342
621.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3102
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4204
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4276
4.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
8244
9.67 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
1975
156.6 IPS |
|
|
Object Detection (Q)
|
87% |
3605
289.1 IPS |
|
|
Face Detection (SP)
|
100% |
4081
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
4045
48.1 IPS |
|
|
Face Detection (Q)
|
97% |
9269
110.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5369
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5326
41.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
8963
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12054
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11990
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23496
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2394
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2408
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4667
172.9 IPS |
|
|
Text Classification (SP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1066
1.42 KIPS |
|
|
Text Classification (Q)
|
91% |
903
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2814
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2834
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2822
48.6 IPS |
