Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
2339
Single Precision Score
3340
Half Precision Score
5101
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | daviangel |
| Upload Date | March 08 2025 09:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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 DDR4(MS-7D25) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
2159
401.4 IPS |
|
|
Image Classification (Q)
|
99% |
3278
611.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3449
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4015
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3946
4.60 IPS |
|
|
Pose Estimation (HP)
|
99% |
2880
3.36 IPS |
|
|
Pose Estimation (Q)
|
97% |
11883
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (HP)
|
98% |
2037
162.1 IPS |
|
|
Object Detection (Q)
|
90% |
3363
268.9 IPS |
|
|
Face Detection (SP)
|
100% |
4305
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
6948
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
9109
108.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4560
35.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7674
59.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
10478
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10143
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16084
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26882
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2918
107.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5725
212.0 IPS |
|
|
Text Classification (SP)
|
71% |
974
1.41 KIPS |
|
|
Text Classification (HP)
|
71% |
1188
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
1159
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
932
16.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1333
23.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1333
23.0 IPS |
