Micro-Star International Co., Ltd. MS-7B18
Geekbench AI Score
2738
Single Precision Score
692
Half Precision Score
2780
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | FoxKyong |
| Upload Date | August 17 2024 08:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B18 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z390 TOMAHAWK (MS-7B18) |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
97% |
2413
450.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
2.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
1872
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6101
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5092
5.94 IPS |
|
|
Pose Estimation (Q)
|
87% |
10951
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
86% |
1602
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
1918
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
236
2.80 IPS |
|
|
Face Detection (Q)
|
96% |
3136
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6084
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
776
5.98 IPS |
|
|
Depth Estimation (Q)
|
76% |
5300
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14370
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11664
15.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13586
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2406
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2028
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2672
99.0 IPS |
|
|
Text Classification (SP)
|
100% |
1488
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
617
823.3 IPS |
|
|
Text Classification (Q)
|
97% |
406
543.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (Q)
|
60% |
1423
31.7 IPS |
