Micro-Star International Co., Ltd. MEG Z890 Vision X AI 2nd (MS-B921)
Geekbench AI Score
5905
Single Precision Score
2116
Half Precision Score
8206
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 01:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MEG Z890 Vision X AI 2nd (MS-B921) |
| Motherboard | Micro-Star International Co., Ltd. MS-B9211 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4491
835.1 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.4 IPS |
|
|
Image Classification (Q)
|
99% |
3590
669.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12771
207.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14532
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6901
8.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
41925
49.2 IPS |
|
|
Object Detection (SP)
|
100% |
3651
289.6 IPS |
|
|
Object Detection (HP)
|
100% |
852
67.6 IPS |
|
|
Object Detection (Q)
|
86% |
8208
659.7 IPS |
|
|
Face Detection (SP)
|
100% |
10968
130.3 IPS |
|
|
Face Detection (HP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
11698
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12924
99.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2672
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10866
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31315
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18490
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22553
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3000
110.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6686
247.6 IPS |
|
|
Text Classification (SP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
710
947.9 IPS |
|
|
Text Classification (Q)
|
97% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2870
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2979
59.9 IPS |
