Micro-Star International Co., Ltd. MS-7D25 Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
1637
Single Precision Score
1672
Half Precision Score
1103
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MaisieMarlowe |
| Upload Date | February 16 2025 10:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI DDR4(MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
716
133.1 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.5 IPS |
|
|
Image Classification (Q)
|
100% |
588
109.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
744
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5014
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5586
6.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
3386
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
787
62.5 IPS |
|
|
Object Detection (HP)
|
98% |
661
52.6 IPS |
|
|
Object Detection (Q)
|
86% |
662
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1691
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
1156
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2977
22.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3217
24.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2198
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10372
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13851
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
7675
9.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2416
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
896
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.5 IPS |
|
|
Text Classification (Q)
|
97% |
427
571.6 IPS |
|
|
Machine Translation (SP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.4 IPS |
|
|
Machine Translation (Q)
|
70% |
367
6.88 IPS |
