Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
34412
Single Precision Score
59504
Half Precision Score
26108
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 06:44 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14505
2.70 KIPS |
|
|
Image Classification (HP)
|
100% |
22392
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
12838
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23275
377.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
33062
536.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21677
352.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
178236
208.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
694737
810.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
161036
188.6 IPS |
|
|
Object Detection (SP)
|
100% |
18614
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
30664
2.43 KIPS |
|
|
Object Detection (Q)
|
86% |
15345
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
51734
614.7 IPS |
|
|
Face Detection (HP)
|
100% |
72967
867.0 IPS |
|
|
Face Detection (Q)
|
97% |
42521
507.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
89180
687.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
152008
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66374
530.0 IPS |
|
|
Style Transfer (SP)
|
100% |
325526
418.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1060342
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
270527
348.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50383
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86314
3.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38528
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4211
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5327
7.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2486
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6526
112.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6526
112.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2927
54.9 IPS |
