Micro-Star International Co., Ltd. MS-7D05
Geekbench AI Score
5876
Single Precision Score
5974
Half Precision Score
15600
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Aaronage |
| Upload Date | March 29 2025 05:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz |
| 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% |
3689
686.1 IPS |
|
|
Image Classification (HP)
|
100% |
3884
722.2 IPS |
|
|
Image Classification (Q)
|
100% |
10080
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4155
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4174
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9599
155.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8237
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
8259
9.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
32586
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3383
268.3 IPS |
|
|
Object Detection (HP)
|
100% |
3421
271.3 IPS |
|
|
Object Detection (Q)
|
88% |
10838
868.8 IPS |
|
|
Face Detection (SP)
|
100% |
6776
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
6781
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
25770
306.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9795
75.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10101
77.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
27635
214.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19994
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20992
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84155
108.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4684
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4737
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16118
596.9 IPS |
|
|
Text Classification (SP)
|
100% |
3820
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
92% |
5240
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4839
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4851
83.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4938
85.1 IPS |
