Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
37186
Single Precision Score
66059
Half Precision Score
27803
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 07:19 PM |
| Views | 8 |
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-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Ultimate Performance |
| 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% |
15098
2.81 KIPS |
|
|
Image Classification (HP)
|
100% |
23427
4.36 KIPS |
|
|
Image Classification (Q)
|
100% |
13147
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28882
468.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
44405
719.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
25731
418.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
185178
216.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
759622
886.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
166482
195.0 IPS |
|
|
Object Detection (SP)
|
100% |
20082
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
33722
2.67 KIPS |
|
|
Object Detection (Q)
|
86% |
16422
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
57438
682.5 IPS |
|
|
Face Detection (HP)
|
100% |
85404
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
46178
550.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
91872
707.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
165308
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68761
549.1 IPS |
|
|
Style Transfer (SP)
|
100% |
338547
435.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1133534
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
278474
359.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52645
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89149
3.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40110
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2556
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
8120
139.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8077
139.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3293
61.8 IPS |
