Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
15506
Single Precision Score
27940
Half Precision Score
10380
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | StripeyMiata |
| Upload Date | September 04 2025 10:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO A620M-E (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6624
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
11486
2.14 KIPS |
|
|
Image Classification (Q)
|
99% |
4940
921.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
11206
181.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18808
304.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8556
139.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
69830
81.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
206731
241.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
58278
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
8003
634.8 IPS |
|
|
Object Detection (HP)
|
100% |
15431
1.22 KIPS |
|
|
Object Detection (Q)
|
84% |
6120
493.6 IPS |
|
|
Face Detection (SP)
|
100% |
18698
222.2 IPS |
|
|
Face Detection (HP)
|
100% |
32195
382.5 IPS |
|
|
Face Detection (Q)
|
97% |
14705
175.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
36028
277.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
72512
560.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
24706
197.8 IPS |
|
|
Style Transfer (SP)
|
100% |
117927
151.6 IPS |
|
|
Style Transfer (HP)
|
100% |
313859
403.5 IPS |
|
|
Style Transfer (Q)
|
98% |
95360
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22339
824.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38992
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14225
526.7 IPS |
|
|
Text Classification (SP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3242
4.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1280
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4334
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4543
78.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1528
28.7 IPS |
