Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
24342
Single Precision Score
36345
Half Precision Score
21124
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:00 PM |
| Views | 2 |
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 BOMBER 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% |
11923
2.22 KIPS |
|
|
Image Classification (HP)
|
100% |
14849
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
11572
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10957
177.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13067
211.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14469
235.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
133822
156.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
432016
504.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
117923
138.1 IPS |
|
|
Object Detection (SP)
|
100% |
10428
827.1 IPS |
|
|
Object Detection (HP)
|
99% |
15487
1.23 KIPS |
|
|
Object Detection (Q)
|
87% |
9910
795.9 IPS |
|
|
Face Detection (SP)
|
100% |
30052
357.1 IPS |
|
|
Face Detection (HP)
|
100% |
41884
497.7 IPS |
|
|
Face Detection (Q)
|
97% |
26286
313.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
66669
513.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94780
730.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
55989
449.0 IPS |
|
|
Style Transfer (SP)
|
100% |
245827
316.0 IPS |
|
|
Style Transfer (HP)
|
100% |
480264
617.4 IPS |
|
|
Style Transfer (Q)
|
98% |
209119
269.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39233
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71573
2.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32771
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4124
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4420
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2961
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5028
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5137
88.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3028
56.8 IPS |
