Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
4861
Single Precision Score
4828
Half Precision Score
13488
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Meinlsync |
| Upload Date | August 28 2024 08:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11600K @ 3.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z490 GAMING PLUS (MS-7C75) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2968
552.0 IPS |
|
|
Image Classification (HP)
|
100% |
2735
508.7 IPS |
|
|
Image Classification (Q)
|
100% |
8867
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3004
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2993
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7273
117.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6593
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
6584
7.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
25863
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
2971
235.7 IPS |
|
|
Object Detection (HP)
|
100% |
2976
236.0 IPS |
|
|
Object Detection (Q)
|
88% |
8652
693.6 IPS |
|
|
Face Detection (SP)
|
100% |
5929
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
5969
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
20961
249.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8409
64.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
8364
64.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
23183
183.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16561
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
66319
85.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3806
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3822
141.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13434
497.5 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (Q)
|
92% |
4935
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4170
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4212
72.6 IPS |
|
|
Machine Translation (Q)
|
85% |
6467
113.1 IPS |
