Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
38482
Single Precision Score
45499
Half Precision Score
30604
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 01:21 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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 | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores |
| 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% |
15782
2.94 KIPS |
|
|
Image Classification (HP)
|
100% |
17206
3.20 KIPS |
|
|
Image Classification (Q)
|
99% |
13733
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27260
441.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24561
398.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24752
402.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
291952
340.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
517427
603.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
256668
300.6 IPS |
|
|
Object Detection (SP)
|
100% |
19390
1.54 KIPS |
|
|
Object Detection (HP)
|
99% |
20729
1.64 KIPS |
|
|
Object Detection (Q)
|
87% |
16920
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
51398
610.7 IPS |
|
|
Face Detection (HP)
|
100% |
56675
673.4 IPS |
|
|
Face Detection (Q)
|
97% |
45260
539.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
81407
627.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103060
794.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
66344
531.7 IPS |
|
|
Style Transfer (SP)
|
100% |
469397
603.4 IPS |
|
|
Style Transfer (HP)
|
100% |
712982
916.5 IPS |
|
|
Style Transfer (Q)
|
98% |
412622
532.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52850
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68192
2.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42027
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4429
5.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4458
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2847
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
6362
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6626
114.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3294
61.8 IPS |
