Micro-Star International Co., Ltd. MS-7D09
Geekbench AI Score
2440
Single Precision Score
711
Half Precision Score
3769
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 06:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D09 |
| Motherboard | Micro-Star International Co., Ltd. Z590-A PRO (MS-7D09) |
| 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% |
1552
288.7 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.5 IPS |
|
|
Image Classification (Q)
|
99% |
3506
654.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
2269
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4234
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3335
3.89 IPS |
|
|
Pose Estimation (Q)
|
95% |
17833
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
88% |
1900
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
97% |
4026
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5072
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
897
6.91 IPS |
|
|
Depth Estimation (Q)
|
76% |
7806
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10353
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8546
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18103
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2008
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3869
143.3 IPS |
|
|
Text Classification (SP)
|
100% |
1637
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
728
971.8 IPS |
|
|
Text Classification (Q)
|
97% |
568
761.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1631
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.91 IPS |
|
|
Machine Translation (Q)
|
60% |
1721
38.4 IPS |
