Micro-Star International Co., Ltd. MS-7B49
Geekbench AI Score
2873
Single Precision Score
2835
Half Precision Score
4539
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 10 2024 09:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8600K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B49 |
| Motherboard | Micro-Star International Co., Ltd. Z370 PC PRO (MS-7B49) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1838
341.8 IPS |
|
|
Image Classification (HP)
|
100% |
1818
338.0 IPS |
|
|
Image Classification (Q)
|
100% |
2863
532.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4106
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3917
4.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
8304
9.74 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (Q)
|
87% |
3023
242.5 IPS |
|
|
Face Detection (SP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (Q)
|
97% |
7937
94.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4998
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4987
38.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
8607
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12247
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12066
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21573
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2427
89.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2423
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4730
175.2 IPS |
|
|
Text Classification (SP)
|
100% |
1604
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (Q)
|
91% |
1124
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2321
40.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2214
38.1 IPS |
