Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
15255
Single Precision Score
26951
Half Precision Score
10274
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 24 2025 12:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6707
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
11541
2.15 KIPS |
|
|
Image Classification (Q)
|
99% |
5020
936.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10256
166.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16227
263.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8236
133.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
69566
81.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
200893
234.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
58310
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
8034
637.2 IPS |
|
|
Object Detection (HP)
|
100% |
14918
1.18 KIPS |
|
|
Object Detection (Q)
|
84% |
5951
480.0 IPS |
|
|
Face Detection (SP)
|
100% |
17899
212.7 IPS |
|
|
Face Detection (HP)
|
100% |
29766
353.7 IPS |
|
|
Face Detection (Q)
|
97% |
14117
168.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
35851
276.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
69252
535.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
24456
195.8 IPS |
|
|
Style Transfer (SP)
|
100% |
117947
151.6 IPS |
|
|
Style Transfer (HP)
|
100% |
307049
394.7 IPS |
|
|
Style Transfer (Q)
|
98% |
95086
122.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22611
834.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39104
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14111
522.5 IPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
99% |
3697
4.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1337
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1475
27.7 IPS |
