Micro-Star International Co., Ltd. MS-7B78
Geekbench AI Score
1721
Single Precision Score
840
Half Precision Score
2103
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | July 03 2025 09:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 | Lenovo Default |
| 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% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (Q)
|
96% |
1703
317.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
1323
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2929
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2442
2.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
3459
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
100% |
413
32.7 IPS |
|
|
Object Detection (Q)
|
58% |
1244
135.9 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
3953
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3557
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1262
9.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
3967
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6956
8.94 IPS |
|
|
Style Transfer (HP)
|
100% |
5476
7.04 IPS |
|
|
Style Transfer (Q)
|
87% |
7571
9.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1117
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1248
46.2 IPS |
|
|
Text Classification (SP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
423
564.5 IPS |
|
|
Text Classification (Q)
|
97% |
728
975.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (Q)
|
68% |
1625
31.4 IPS |
