Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
8872
Single Precision Score
3420
Half Precision Score
14820
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 05 2025 07:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8661
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
1231
228.9 IPS |
|
|
Image Classification (Q)
|
99% |
14946
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17650
287.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14892
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12000
14.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
52749
61.8 IPS |
|
|
Object Detection (SP)
|
100% |
7736
613.6 IPS |
|
|
Object Detection (HP)
|
100% |
1554
123.2 IPS |
|
|
Object Detection (Q)
|
86% |
14865
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
13533
160.8 IPS |
|
|
Face Detection (HP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (Q)
|
97% |
15785
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20429
157.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4561
35.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
32463
259.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37591
48.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27137
34.9 IPS |
|
|
Style Transfer (Q)
|
98% |
39931
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6380
235.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5268
194.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7312
270.7 IPS |
|
|
Text Classification (SP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2740
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5433
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (Q)
|
65% |
6031
121.2 IPS |
