Micro-Star International Co., Ltd. MS-7B78
Geekbench AI Score
3525
Single Precision Score
3531
Half Precision Score
4059
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ViNsTeR777 |
| Upload Date | November 29 2024 03:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B78 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PRO CARBON (MS-7B78) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2445
454.7 IPS |
|
|
Image Classification (HP)
|
100% |
2440
453.7 IPS |
|
|
Image Classification (Q)
|
100% |
2507
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2828
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5769
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5769
6.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
6046
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
2323
184.2 IPS |
|
|
Object Detection (Q)
|
87% |
2711
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
5884
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
5900
70.1 IPS |
|
|
Face Detection (Q)
|
97% |
8495
101.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6550
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6531
50.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
6975
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16311
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16258
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17206
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3258
120.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3321
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3548
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (Q)
|
91% |
943
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3067
52.8 IPS |
