Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
36155
Single Precision Score
58707
Half Precision Score
27503
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 05:09 PM |
| Views | 5 |
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. PRO X870-P WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14340
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
20678
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
12561
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24357
394.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
33726
546.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22583
367.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
238735
278.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
707101
825.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
203694
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
19634
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
29322
2.33 KIPS |
|
|
Object Detection (Q)
|
86% |
16528
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
54545
648.1 IPS |
|
|
Face Detection (HP)
|
100% |
77065
915.7 IPS |
|
|
Face Detection (Q)
|
97% |
44435
529.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
89972
693.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
157739
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66389
530.2 IPS |
|
|
Style Transfer (SP)
|
100% |
352592
453.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1109271
1.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
306154
394.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56223
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84719
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42261
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4600
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2335
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6377
109.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6401
110.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2910
54.6 IPS |
