Micro-Star International Co., Ltd. MS-7B18
Geekbench AI Score
1742
Single Precision Score
1740
Half Precision Score
1257
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | FoxKyong |
| Upload Date | August 17 2024 07:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro-Star International Co., Ltd. MS-7B18 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z390 TOMAHAWK (MS-7B18) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.2 IPS |
|
|
Image Classification (HP)
|
100% |
1446
269.0 IPS |
|
|
Image Classification (Q)
|
99% |
890
166.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2062
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2053
2.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2460
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (Q)
|
86% |
973
78.3 IPS |
|
|
Face Detection (SP)
|
100% |
2001
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
1993
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
1934
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2023
15.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
2013
15.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
1923
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2294
2.95 IPS |
|
|
Style Transfer (HP)
|
100% |
2296
2.95 IPS |
|
|
Style Transfer (Q)
|
98% |
4409
5.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1253
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
534
716.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1782
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (Q)
|
58% |
508
11.9 IPS |
