Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
25392
Single Precision Score
30125
Half Precision Score
20313
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 11:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E30 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING WIFI (MS-7E30) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10332
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
11064
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
8907
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18430
298.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13787
223.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16587
269.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
184439
215.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
305420
356.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
162070
189.8 IPS |
|
|
Object Detection (SP)
|
100% |
9958
789.9 IPS |
|
|
Object Detection (HP)
|
99% |
12065
957.0 IPS |
|
|
Object Detection (Q)
|
87% |
9003
723.0 IPS |
|
|
Face Detection (SP)
|
100% |
39384
468.0 IPS |
|
|
Face Detection (HP)
|
100% |
43034
511.3 IPS |
|
|
Face Detection (Q)
|
97% |
33904
404.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
51975
400.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74642
575.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
50446
404.3 IPS |
|
|
Style Transfer (SP)
|
100% |
321987
413.9 IPS |
|
|
Style Transfer (HP)
|
100% |
486737
625.7 IPS |
|
|
Style Transfer (Q)
|
98% |
282934
364.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35732
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51099
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25076
928.5 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2114
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4017
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4021
69.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2163
40.6 IPS |
