MSI Z890 NPU LEVEL 1 - 20260131 Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6670
Single Precision Score
2562
Half Precision Score
11495
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | HPC-Engineering |
| Upload Date | January 31 2026 04:05 PM |
| Views | 11 |
| Notes | MSI Z890 NPU LEVEL 1 - 20260131 Level 1 is HIGHER performance setting than level 2 or 3! |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5689
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
870
161.9 IPS |
|
|
Image Classification (Q)
|
99% |
10168
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1687
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16453
267.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14754
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8426
9.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
40453
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
5020
398.2 IPS |
|
|
Object Detection (HP)
|
100% |
1178
93.5 IPS |
|
|
Object Detection (Q)
|
86% |
10747
863.7 IPS |
|
|
Face Detection (SP)
|
100% |
14380
170.9 IPS |
|
|
Face Detection (HP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
13576
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16349
126.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3732
28.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
23786
189.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32407
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21177
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31393
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5218
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3388
125.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7416
274.6 IPS |
|
|
Text Classification (SP)
|
100% |
1980
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1689
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4365
87.7 IPS |
