Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
14547
Single Precision Score
25456
Half Precision Score
9976
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:16 AM |
| Views | 2 |
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 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6481
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
11112
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
4864
907.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9094
147.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13467
218.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7408
120.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
70428
82.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
200672
234.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
58722
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
7727
612.9 IPS |
|
|
Object Detection (HP)
|
100% |
14371
1.14 KIPS |
|
|
Object Detection (Q)
|
84% |
6018
485.4 IPS |
|
|
Face Detection (SP)
|
100% |
16863
200.4 IPS |
|
|
Face Detection (HP)
|
100% |
27639
328.4 IPS |
|
|
Face Detection (Q)
|
97% |
13480
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
35757
275.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71674
553.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
24434
195.6 IPS |
|
|
Style Transfer (SP)
|
100% |
118668
152.5 IPS |
|
|
Style Transfer (HP)
|
100% |
308059
396.0 IPS |
|
|
Style Transfer (Q)
|
98% |
95080
122.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22312
823.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38672
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14025
519.3 IPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
3301
4.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3231
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1363
25.6 IPS |
