Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
37975
Single Precision Score
63651
Half Precision Score
28857
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 09:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. X870 GAMING PLUS WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15497
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
22697
4.22 KIPS |
|
|
Image Classification (Q)
|
100% |
13430
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25230
409.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
34662
561.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
23743
386.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
245013
285.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
732070
854.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
209520
245.4 IPS |
|
|
Object Detection (SP)
|
100% |
20726
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
33147
2.63 KIPS |
|
|
Object Detection (Q)
|
86% |
17737
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
56697
673.7 IPS |
|
|
Face Detection (HP)
|
100% |
81594
969.5 IPS |
|
|
Face Detection (Q)
|
97% |
46158
550.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
94186
725.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
178342
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68573
547.6 IPS |
|
|
Style Transfer (SP)
|
100% |
365173
469.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1196657
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
315938
407.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59709
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93583
3.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44822
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5343
7.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2547
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6519
112.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6568
113.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2960
55.5 IPS |
