Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
1862
Single Precision Score
549
Half Precision Score
2055
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3800XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800XT |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1042
193.8 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (Q)
|
97% |
1939
361.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
1356
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3094
3.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
5568
6.58 IPS |
|
|
Object Detection (SP)
|
100% |
1139
90.3 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
86% |
1122
90.2 IPS |
|
|
Face Detection (SP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (Q)
|
96% |
2513
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3943
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
710
5.47 IPS |
|
|
Depth Estimation (Q)
|
76% |
4045
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8788
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7252
9.32 IPS |
|
|
Style Transfer (Q)
|
87% |
9451
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1664
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
451
602.3 IPS |
|
|
Text Classification (Q)
|
97% |
365
489.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
60% |
1407
31.4 IPS |
