Micro-Star International Co., Ltd. MS-7B17
Geekbench AI Score
3783
Single Precision Score
3981
Half Precision Score
6080
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 01:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9600K CPU @ 3.70GHz |
| 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% |
1514
281.5 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.5 IPS |
|
|
Image Classification (Q)
|
100% |
3903
725.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4206
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5025
5.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5046
5.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
10872
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (Q)
|
87% |
4017
322.2 IPS |
|
|
Face Detection (SP)
|
100% |
4287
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
4267
50.7 IPS |
|
|
Face Detection (Q)
|
97% |
10555
125.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6831
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6811
52.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
11252
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16005
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16038
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30889
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3248
120.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3263
120.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6126
226.9 IPS |
|
|
Text Classification (SP)
|
100% |
2727
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2738
3.65 KIPS |
|
|
Text Classification (Q)
|
91% |
1321
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3290
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3245
55.9 IPS |
