Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
1812
Single Precision Score
3256
Half Precision Score
1618
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | danny22 |
| Upload Date | May 07 2025 12:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
934
173.7 IPS |
|
|
Image Classification (HP)
|
99% |
1854
345.8 IPS |
|
|
Image Classification (Q)
|
99% |
865
161.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1120
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4502
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
7133
8.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
4424
5.18 IPS |
|
|
Object Detection (SP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (HP)
|
100% |
1850
146.7 IPS |
|
|
Object Detection (Q)
|
85% |
883
71.1 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5321
63.2 IPS |
|
|
Face Detection (Q)
|
97% |
2993
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4198
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7778
60.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3765
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7327
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
19403
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
7195
9.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3687
136.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2200
81.5 IPS |
|
|
Text Classification (SP)
|
100% |
661
881.9 IPS |
|
|
Text Classification (HP)
|
99% |
1528
2.04 KIPS |
|
|
Text Classification (Q)
|
97% |
428
573.8 IPS |
|
|
Machine Translation (SP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
428
8.03 IPS |
