Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
2343
Single Precision Score
2278
Half Precision Score
1695
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 750 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
874
162.6 IPS |
|
|
Image Classification (HP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (Q)
|
99% |
746
139.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1014
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7142
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
6656
7.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
6314
7.40 IPS |
|
|
Object Detection (SP)
|
100% |
1113
88.3 IPS |
|
|
Object Detection (HP)
|
100% |
1091
86.6 IPS |
|
|
Object Detection (Q)
|
83% |
919
74.2 IPS |
|
|
Face Detection (SP)
|
100% |
1919
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
1955
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
1573
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3941
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3913
30.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3225
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11712
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11432
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10169
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3173
117.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3032
112.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2354
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
528
707.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1919
33.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1782
30.8 IPS |
|
|
Machine Translation (Q)
|
70% |
699
13.1 IPS |
