Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
37138
Single Precision Score
62051
Half Precision Score
28025
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:37 AM |
| Views | 4 |
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 9 9900X3D 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14969
2.78 KIPS |
|
|
Image Classification (HP)
|
100% |
22015
4.09 KIPS |
|
|
Image Classification (Q)
|
100% |
13102
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24896
403.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
33955
550.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23023
374.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
235840
275.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
717148
836.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
203102
237.9 IPS |
|
|
Object Detection (SP)
|
100% |
19970
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
31554
2.50 KIPS |
|
|
Object Detection (Q)
|
86% |
17329
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
55661
661.4 IPS |
|
|
Face Detection (HP)
|
100% |
80082
951.6 IPS |
|
|
Face Detection (Q)
|
97% |
44849
534.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
92255
710.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
180521
1.39 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65991
527.0 IPS |
|
|
Style Transfer (SP)
|
100% |
355733
457.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1163491
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
306865
395.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59168
2.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90279
3.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43542
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5052
6.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2420
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6497
111.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6522
112.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2942
55.2 IPS |
