Micro-Star International Co., Ltd. MS-7D05
Geekbench AI Score
1396
Single Precision Score
1452
Half Precision Score
948
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Aaronage |
| Upload Date | March 29 2025 06:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 750 |
| 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% |
608
113.0 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.7 IPS |
|
|
Image Classification (Q)
|
100% |
504
93.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
645
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4350
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4774
5.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
2943
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (HP)
|
98% |
583
46.4 IPS |
|
|
Object Detection (Q)
|
86% |
566
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
1375
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
1018
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2587
19.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2850
22.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1897
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9019
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11998
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
6606
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1509
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
777
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
620
827.6 IPS |
|
|
Text Classification (HP)
|
100% |
397
529.3 IPS |
|
|
Text Classification (Q)
|
97% |
338
452.8 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
70% |
326
6.12 IPS |
