Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
32773
Single Precision Score
56956
Half Precision Score
24716
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 10:43 AM |
| 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-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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13835
2.57 KIPS |
|
|
Image Classification (HP)
|
100% |
21314
3.96 KIPS |
|
|
Image Classification (Q)
|
100% |
12008
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21967
356.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
30866
500.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20088
326.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
171142
199.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
669898
781.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
154789
181.3 IPS |
|
|
Object Detection (SP)
|
100% |
17648
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
29476
2.34 KIPS |
|
|
Object Detection (Q)
|
86% |
14524
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
48990
582.1 IPS |
|
|
Face Detection (HP)
|
100% |
69175
822.0 IPS |
|
|
Face Detection (Q)
|
97% |
40017
477.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
85433
658.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
146458
1.13 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63197
504.6 IPS |
|
|
Style Transfer (SP)
|
100% |
314870
404.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1019700
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
261516
337.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47631
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81530
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36051
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5355
7.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2312
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6137
105.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6132
105.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2846
53.4 IPS |
