Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
3680
Single Precision Score
1583
Half Precision Score
3394
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 01:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Equilibrado |
| 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% |
2165
402.6 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
96% |
3544
661.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
1999
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6360
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
5126
5.98 IPS |
|
|
Pose Estimation (Q)
|
87% |
12015
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (Q)
|
86% |
2157
173.4 IPS |
|
|
Face Detection (SP)
|
100% |
4812
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (Q)
|
96% |
4652
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7125
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2294
17.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
6320
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14773
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12520
16.1 IPS |
|
|
Style Transfer (Q)
|
87% |
15197
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2686
99.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2312
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3139
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
1826
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
689
920.3 IPS |
|
|
Text Classification (Q)
|
97% |
383
512.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2531
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2059
45.9 IPS |
