Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
50483
Single Precision Score
75569
Half Precision Score
37394
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 08:14 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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% |
17759
3.30 KIPS |
|
|
Image Classification (HP)
|
100% |
22839
4.25 KIPS |
|
|
Image Classification (Q)
|
100% |
15290
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40287
653.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
51952
842.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
37424
608.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
445724
520.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
1105020
1.29 KIPS |
|
|
Pose Estimation (Q)
|
96% |
358983
420.5 IPS |
|
|
Object Detection (SP)
|
100% |
25808
2.05 KIPS |
|
|
Object Detection (HP)
|
100% |
33989
2.70 KIPS |
|
|
Object Detection (Q)
|
85% |
21281
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
78000
926.8 IPS |
|
|
Face Detection (HP)
|
100% |
104118
1.24 KIPS |
|
|
Face Detection (Q)
|
97% |
62754
748.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
115846
892.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
200070
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
82580
661.4 IPS |
|
|
Style Transfer (SP)
|
100% |
654356
841.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1825068
2.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
542399
699.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76229
2.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100057
3.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54517
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4760
6.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2420
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
7626
131.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7527
129.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3298
61.9 IPS |
