Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
36362
Single Precision Score
64823
Half Precision Score
27172
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:48 PM |
| Views | 2 |
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) |
| 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% |
14626
2.72 KIPS |
|
|
Image Classification (HP)
|
100% |
23011
4.28 KIPS |
|
|
Image Classification (Q)
|
100% |
13179
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28750
466.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
44364
719.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25523
415.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
180368
210.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
749366
874.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
161446
189.1 IPS |
|
|
Object Detection (SP)
|
100% |
19565
1.55 KIPS |
|
|
Object Detection (HP)
|
100% |
32672
2.59 KIPS |
|
|
Object Detection (Q)
|
86% |
15957
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
56997
677.2 IPS |
|
|
Face Detection (HP)
|
100% |
84991
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
45606
543.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
89356
688.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
160301
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66697
532.6 IPS |
|
|
Style Transfer (SP)
|
100% |
326708
420.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1104327
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
270867
349.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50696
1.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85963
3.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38698
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4040
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5096
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2443
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
7992
137.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7953
137.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3251
61.0 IPS |
