Micro-Star International Co., Ltd. MS-7B18
Geekbench AI Score
2977
Single Precision Score
807
Half Precision Score
3335
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | FoxKyong |
| Upload Date | August 17 2024 07:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1889
351.3 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
94% |
2550
476.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
2235
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6260
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4926
5.75 IPS |
|
|
Pose Estimation (Q)
|
87% |
11164
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
86% |
1718
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
1996
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.01 IPS |
|
|
Face Detection (Q)
|
96% |
3788
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6390
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1029
7.92 IPS |
|
|
Depth Estimation (Q)
|
76% |
5168
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14785
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12266
15.8 IPS |
|
|
Style Transfer (Q)
|
87% |
13865
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2439
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2024
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2810
104.1 IPS |
|
|
Text Classification (SP)
|
100% |
2034
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
578
771.0 IPS |
|
|
Text Classification (Q)
|
97% |
1338
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
60% |
1527
34.1 IPS |
