Micro-Star International Co., Ltd. MS-7B17
Geekbench AI Score
2951
Single Precision Score
1300
Half Precision Score
3748
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 01:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z390 GAMING EDGE AC (MS-7B17) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2255
419.4 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (Q)
|
96% |
3187
595.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
1567
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5182
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3562
4.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
9151
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
58% |
2375
259.5 IPS |
|
|
Face Detection (SP)
|
100% |
3502
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (Q)
|
96% |
6214
74.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6538
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1868
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7994
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12813
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10267
13.2 IPS |
|
|
Style Transfer (Q)
|
87% |
14139
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2672
99.0 IPS |
|
|
Text Classification (SP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1365
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1968
38.0 IPS |
