Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
23651
Single Precision Score
35672
Half Precision Score
20661
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 08:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 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% |
11461
2.13 KIPS |
|
|
Image Classification (HP)
|
100% |
14507
2.70 KIPS |
|
|
Image Classification (Q)
|
100% |
11286
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10702
173.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12844
208.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13990
227.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
132217
154.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
427050
498.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
117353
137.5 IPS |
|
|
Object Detection (SP)
|
100% |
10354
821.3 IPS |
|
|
Object Detection (HP)
|
99% |
15161
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
9795
786.7 IPS |
|
|
Face Detection (SP)
|
100% |
29088
345.6 IPS |
|
|
Face Detection (HP)
|
100% |
37441
444.9 IPS |
|
|
Face Detection (Q)
|
97% |
25192
300.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
65458
504.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93238
718.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
53677
430.5 IPS |
|
|
Style Transfer (SP)
|
100% |
236178
303.6 IPS |
|
|
Style Transfer (HP)
|
100% |
469817
604.0 IPS |
|
|
Style Transfer (Q)
|
98% |
205389
264.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37740
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69257
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32278
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4071
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4723
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2970
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4721
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5156
88.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2934
55.0 IPS |
