Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
37414
Single Precision Score
62607
Half Precision Score
28213
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 13 2025 02:09 PM |
| Views | 2 |
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 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15174
2.82 KIPS |
|
|
Image Classification (HP)
|
100% |
22468
4.18 KIPS |
|
|
Image Classification (Q)
|
100% |
13231
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25147
407.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
34769
563.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23378
380.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
237146
276.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
715692
835.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
203148
238.0 IPS |
|
|
Object Detection (SP)
|
100% |
20430
1.62 KIPS |
|
|
Object Detection (HP)
|
100% |
31873
2.53 KIPS |
|
|
Object Detection (Q)
|
86% |
17479
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
56375
669.9 IPS |
|
|
Face Detection (HP)
|
100% |
81402
967.2 IPS |
|
|
Face Detection (Q)
|
97% |
45838
546.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92200
710.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
177824
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67159
536.3 IPS |
|
|
Style Transfer (SP)
|
100% |
353758
454.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1154786
1.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
305964
394.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58701
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91227
3.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43464
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5227
6.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2438
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6482
111.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6514
112.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2915
54.7 IPS |
