Micro-Star International Co., Ltd. MS-7C90
Geekbench AI Score
1896
Single Precision Score
964
Half Precision Score
2073
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 11:04 AM |
| Views | 2 |
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-7C90 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING CARBON WIFI (MS-7C90) |
| Power Plan | AMD Ryzen Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1115
207.3 IPS |
|
|
Image Classification (HP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (Q)
|
96% |
1636
305.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
1525
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3962
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3225
3.76 IPS |
|
|
Pose Estimation (Q)
|
87% |
4357
5.15 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.8 IPS |
|
|
Object Detection (HP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (Q)
|
86% |
991
79.6 IPS |
|
|
Face Detection (SP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
2597
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4386
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1484
11.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3590
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9570
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7343
9.44 IPS |
|
|
Style Transfer (Q)
|
87% |
8433
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1397
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1344
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1432
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
416
555.8 IPS |
|
|
Text Classification (Q)
|
97% |
815
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (Q)
|
60% |
1488
33.2 IPS |
