Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
33803
Single Precision Score
58399
Half Precision Score
25476
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 08:17 AM |
| Views | 4 |
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-7E70 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870E-P WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14230
2.65 KIPS |
|
|
Image Classification (HP)
|
100% |
21586
4.01 KIPS |
|
|
Image Classification (Q)
|
100% |
12521
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22894
371.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
32369
524.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21111
343.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
174620
203.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
695690
811.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
157957
185.0 IPS |
|
|
Object Detection (SP)
|
100% |
18469
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
29356
2.33 KIPS |
|
|
Object Detection (Q)
|
86% |
14623
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
50180
596.3 IPS |
|
|
Face Detection (HP)
|
100% |
71584
850.6 IPS |
|
|
Face Detection (Q)
|
97% |
41060
489.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
86777
668.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
152667
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64659
516.3 IPS |
|
|
Style Transfer (SP)
|
100% |
325014
417.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1057043
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
266009
343.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50034
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84120
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38091
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4117
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2403
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6361
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6379
109.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2918
54.7 IPS |
