Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
1959
Single Precision Score
579
Half Precision Score
2131
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 20 |
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% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.9 IPS |
|
|
Image Classification (Q)
|
97% |
2077
387.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
1438
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3773
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3321
3.88 IPS |
|
|
Pose Estimation (Q)
|
87% |
5727
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
1163
92.2 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (Q)
|
86% |
1165
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
1704
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
234
2.77 IPS |
|
|
Face Detection (Q)
|
96% |
2551
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4057
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
678
5.23 IPS |
|
|
Depth Estimation (Q)
|
76% |
4192
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9574
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8710
11.2 IPS |
|
|
Style Transfer (Q)
|
87% |
9790
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1713
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
446
594.7 IPS |
|
|
Text Classification (Q)
|
97% |
361
483.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (Q)
|
60% |
1502
33.5 IPS |
