Micro-Star International Co., Ltd. MS-7D05
Geekbench AI Score
2162
Single Precision Score
3111
Half Precision Score
4602
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Aaronage |
| Upload Date | March 29 2025 06:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 750 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D05 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z590I UNIFY (MS-7D05) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
2063
383.7 IPS |
|
|
Image Classification (Q)
|
99% |
1876
349.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3198
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3729
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3522
4.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
2580
3.01 IPS |
|
|
Pose Estimation (Q)
|
97% |
10652
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1220
96.8 IPS |
|
|
Object Detection (HP)
|
98% |
1932
153.7 IPS |
|
|
Object Detection (Q)
|
90% |
3330
266.2 IPS |
|
|
Face Detection (SP)
|
100% |
4078
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
6525
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
9093
108.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4266
32.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7164
55.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9728
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9167
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14462
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24191
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5468
202.5 IPS |
|
|
Text Classification (SP)
|
71% |
847
1.23 KIPS |
|
|
Text Classification (HP)
|
71% |
1067
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1106
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1325
22.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1329
22.9 IPS |
