Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
4521
Single Precision Score
4658
Half Precision Score
12855
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Meinlsync |
| Upload Date | August 28 2024 04:07 PM |
| Views | 6 |
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% |
2009
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
2763
513.8 IPS |
|
|
Image Classification (Q)
|
100% |
8485
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2904
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7088
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6399
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
6403
7.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
24969
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2871
227.7 IPS |
|
|
Object Detection (HP)
|
100% |
2866
227.4 IPS |
|
|
Object Detection (Q)
|
88% |
8256
661.8 IPS |
|
|
Face Detection (SP)
|
100% |
5617
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
5614
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
19757
234.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8023
61.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
7960
61.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
22313
176.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16493
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16197
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
63727
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3642
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3657
135.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12684
469.7 IPS |
|
|
Text Classification (SP)
|
100% |
3121
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (Q)
|
92% |
4846
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3980
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (Q)
|
85% |
5759
100.8 IPS |
