Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
20667
Single Precision Score
38999
Half Precision Score
15778
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 10:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8638
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
16597
3.09 KIPS |
|
|
Image Classification (Q)
|
99% |
7625
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14538
235.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22652
367.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13541
220.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
99921
116.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
313082
365.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
83368
97.7 IPS |
|
|
Object Detection (SP)
|
100% |
11407
904.8 IPS |
|
|
Object Detection (HP)
|
100% |
19892
1.58 KIPS |
|
|
Object Detection (Q)
|
83% |
9799
791.7 IPS |
|
|
Face Detection (SP)
|
100% |
27742
329.6 IPS |
|
|
Face Detection (HP)
|
100% |
48206
572.8 IPS |
|
|
Face Detection (Q)
|
97% |
24095
287.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
49540
381.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
103034
793.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
39445
315.4 IPS |
|
|
Style Transfer (SP)
|
100% |
150161
193.0 IPS |
|
|
Style Transfer (HP)
|
100% |
534330
686.9 IPS |
|
|
Style Transfer (Q)
|
98% |
127796
164.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28837
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57926
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22202
822.1 IPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4275
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2154
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5289
91.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1952
36.6 IPS |
