Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
30272
Single Precision Score
53405
Half Precision Score
23418
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 11:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 9600X 6-Core Processor |
| 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% |
12410
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
21153
3.93 KIPS |
|
|
Image Classification (Q)
|
100% |
11115
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20865
338.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
30690
497.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19703
320.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
169525
197.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
491315
573.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
143655
168.3 IPS |
|
|
Object Detection (SP)
|
100% |
16729
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
28602
2.27 KIPS |
|
|
Object Detection (Q)
|
83% |
13915
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
42776
508.3 IPS |
|
|
Face Detection (HP)
|
100% |
63319
752.4 IPS |
|
|
Face Detection (Q)
|
97% |
35924
428.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
73325
564.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
135726
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57591
459.7 IPS |
|
|
Style Transfer (SP)
|
100% |
241855
310.9 IPS |
|
|
Style Transfer (HP)
|
100% |
859500
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
206169
265.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45359
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84833
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35612
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4167
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5189
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2555
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6363
109.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2920
54.8 IPS |
