Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2605
Single Precision Score
1232
Half Precision Score
3031
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | d8BtTmDeTUoVa2JP |
| Upload Date | September 12 2024 07:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS MAX (MS-7B86) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1430
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (Q)
|
96% |
3027
565.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
1794
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3823
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3272
3.82 IPS |
|
|
Pose Estimation (Q)
|
87% |
9427
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
86% |
1623
130.5 IPS |
|
|
Face Detection (SP)
|
100% |
4121
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (Q)
|
96% |
4547
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4643
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1790
13.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
5838
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10073
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8235
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14740
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2701
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
609
812.3 IPS |
|
|
Text Classification (Q)
|
97% |
371
496.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2010
44.8 IPS |
