Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
25097
Single Precision Score
38980
Half Precision Score
14917
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 05:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 | Ultimate Performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9143
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
13560
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
6354
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18914
306.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28414
460.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12884
209.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
164155
191.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
354116
413.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
122421
143.4 IPS |
|
|
Object Detection (SP)
|
100% |
12812
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
18864
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
8429
678.0 IPS |
|
|
Face Detection (SP)
|
100% |
36466
433.3 IPS |
|
|
Face Detection (HP)
|
100% |
53511
635.8 IPS |
|
|
Face Detection (Q)
|
97% |
22861
272.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
62151
478.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
107515
828.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
35837
287.0 IPS |
|
|
Style Transfer (SP)
|
100% |
258353
332.1 IPS |
|
|
Style Transfer (HP)
|
100% |
624567
802.9 IPS |
|
|
Style Transfer (Q)
|
98% |
184500
237.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37701
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54037
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20687
766.0 IPS |
|
|
Text Classification (SP)
|
100% |
2547
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3332
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1325
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4848
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4864
83.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1559
29.2 IPS |
