Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
6386
Single Precision Score
7054
Half Precision Score
4631
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | continentalglue |
| Upload Date | December 26 2024 11:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A380 Graphics |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3800
706.8 IPS |
|
|
Image Classification (HP)
|
100% |
4296
798.8 IPS |
|
|
Image Classification (Q)
|
99% |
3232
602.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3282
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5947
96.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2577
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23464
27.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
23185
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
18791
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
4131
327.7 IPS |
|
|
Object Detection (HP)
|
99% |
4568
363.4 IPS |
|
|
Object Detection (Q)
|
85% |
3453
277.9 IPS |
|
|
Face Detection (SP)
|
100% |
7323
87.0 IPS |
|
|
Face Detection (HP)
|
100% |
6800
80.8 IPS |
|
|
Face Detection (Q)
|
97% |
5242
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15749
121.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
17612
136.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11696
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51431
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52982
68.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35957
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8974
331.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12103
446.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5758
213.2 IPS |
|
|
Text Classification (SP)
|
86% |
853
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
84% |
633
859.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2058
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1045
19.6 IPS |
