Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
36409
Single Precision Score
49176
Half Precision Score
30976
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 10:22 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E61 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850M MORTAR WIFI (MS-7E61) |
| 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% |
17161
3.19 KIPS |
|
|
Image Classification (HP)
|
100% |
19630
3.65 KIPS |
|
|
Image Classification (Q)
|
99% |
16067
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17901
290.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20355
330.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21609
351.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
221149
258.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
658583
768.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
198069
232.0 IPS |
|
|
Object Detection (SP)
|
100% |
19421
1.54 KIPS |
|
|
Object Detection (HP)
|
99% |
22579
1.79 KIPS |
|
|
Object Detection (Q)
|
87% |
17675
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
50745
603.0 IPS |
|
|
Face Detection (HP)
|
100% |
59123
702.5 IPS |
|
|
Face Detection (Q)
|
97% |
44826
534.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
90768
699.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
134148
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74869
600.0 IPS |
|
|
Style Transfer (SP)
|
100% |
428930
551.4 IPS |
|
|
Style Transfer (HP)
|
100% |
772047
992.5 IPS |
|
|
Style Transfer (Q)
|
98% |
384072
495.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56047
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90839
3.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46818
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
4548
6.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2884
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
6162
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6301
108.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3845
72.1 IPS |
