Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
29271
Single Precision Score
52578
Half Precision Score
22513
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 08 2025 08:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870E-P WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11728
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
20777
3.86 KIPS |
|
|
Image Classification (Q)
|
100% |
10611
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20255
328.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
30002
486.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18942
308.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
165432
193.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
482342
562.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
143239
167.8 IPS |
|
|
Object Detection (SP)
|
100% |
16292
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
28930
2.29 KIPS |
|
|
Object Detection (Q)
|
83% |
13473
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
41797
496.6 IPS |
|
|
Face Detection (HP)
|
100% |
63689
756.8 IPS |
|
|
Face Detection (Q)
|
97% |
34382
409.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
70355
542.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
134730
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54018
431.2 IPS |
|
|
Style Transfer (SP)
|
100% |
228182
293.3 IPS |
|
|
Style Transfer (HP)
|
100% |
824867
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
195807
252.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43373
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82179
3.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33672
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4117
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5117
6.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2500
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6020
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6237
107.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2817
52.8 IPS |
