Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
2965
Single Precision Score
3028
Half Precision Score
4817
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | egll |
| Upload Date | September 11 2024 02:49 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% |
1918
356.7 IPS |
|
|
Image Classification (HP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (Q)
|
100% |
3333
619.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3255
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4331
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4272
4.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
8370
9.82 IPS |
|
|
Object Detection (SP)
|
100% |
1954
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (Q)
|
87% |
3325
266.7 IPS |
|
|
Face Detection (SP)
|
100% |
4053
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4094
48.6 IPS |
|
|
Face Detection (Q)
|
97% |
9110
108.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5336
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5301
40.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
8890
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11370
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12086
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23844
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2412
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4733
175.3 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1092
1.46 KIPS |
|
|
Text Classification (Q)
|
91% |
877
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2720
46.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2781
47.9 IPS |
