Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
30520
Single Precision Score
54852
Half Precision Score
23443
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BestNoob |
| Upload Date | December 21 2025 12:24 PM |
| Views | 5 |
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 | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores |
| 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% |
11509
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
19736
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
10556
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24078
390.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
38767
628.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22026
358.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
169370
197.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
509977
595.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
145651
170.6 IPS |
|
|
Object Detection (SP)
|
100% |
16745
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
29489
2.34 KIPS |
|
|
Object Detection (Q)
|
83% |
13919
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
45761
543.7 IPS |
|
|
Face Detection (HP)
|
100% |
70925
842.7 IPS |
|
|
Face Detection (Q)
|
97% |
38002
453.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
70881
546.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
138648
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55629
444.0 IPS |
|
|
Style Transfer (SP)
|
100% |
239537
307.9 IPS |
|
|
Style Transfer (HP)
|
100% |
841812
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
202905
261.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43039
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79540
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34216
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3645
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4349
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2307
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
7320
126.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7484
128.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3142
58.9 IPS |
