Micro-Star International Co., Ltd. MS-7D04
Geekbench AI Score
5867
Single Precision Score
5849
Half Precision Score
15314
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 09:34 AM |
| Views | 3 |
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-7D04 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z590 ACE (MS-7D04) |
| Power Plan | Ultimate 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3772
701.4 IPS |
|
|
Image Classification (HP)
|
100% |
3781
703.2 IPS |
|
|
Image Classification (Q)
|
100% |
10033
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4099
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4084
66.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9472
153.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8029
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
8042
9.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
31673
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3357
266.3 IPS |
|
|
Object Detection (HP)
|
100% |
3280
260.1 IPS |
|
|
Object Detection (Q)
|
88% |
10522
843.5 IPS |
|
|
Face Detection (SP)
|
100% |
6662
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
6679
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
25118
298.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9949
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10000
77.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27590
214.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20687
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20516
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81071
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4544
167.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4524
167.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15922
589.6 IPS |
|
|
Text Classification (SP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5407
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4746
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4722
81.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4633
79.8 IPS |
