Micro-Star International Co., Ltd. MS-7E56
Geekbench AI Score
33767
Single Precision Score
58408
Half Precision Score
25739
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 01:02 PM |
| Views | 5 |
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-7E56 |
| Motherboard | Micro-Star International Co., Ltd. B850 GAMING PLUS WIFI (MS-7E56) |
| Power Plan | Balanced |
| 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% |
14500
2.70 KIPS |
|
|
Image Classification (HP)
|
100% |
22771
4.23 KIPS |
|
|
Image Classification (Q)
|
100% |
12795
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22844
370.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
32318
523.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21179
344.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
176880
206.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
690494
805.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
159547
186.9 IPS |
|
|
Object Detection (SP)
|
100% |
18115
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
29924
2.37 KIPS |
|
|
Object Detection (Q)
|
86% |
15389
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
50633
601.6 IPS |
|
|
Face Detection (HP)
|
100% |
71466
849.2 IPS |
|
|
Face Detection (Q)
|
97% |
41720
497.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
87939
677.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
151125
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65861
525.9 IPS |
|
|
Style Transfer (SP)
|
100% |
323727
416.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1046435
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
269673
347.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49671
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82665
3.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37280
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6249
107.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6341
109.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2900
54.4 IPS |
