Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
1770
Single Precision Score
827
Half Precision Score
1555
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | janne77 |
| Upload Date | January 09 2025 11:03 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 1700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS (MS-7B86) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.8 IPS |
|
|
Image Classification (Q)
|
96% |
1358
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
978
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3037
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2550
2.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
2838
3.35 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (Q)
|
58% |
879
96.0 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
3221
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4052
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1285
9.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
3452
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7518
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6533
8.40 IPS |
|
|
Style Transfer (Q)
|
87% |
6570
8.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1090
40.4 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
374
499.4 IPS |
|
|
Text Classification (Q)
|
97% |
286
382.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (Q)
|
68% |
1097
21.2 IPS |
