Maxsun MS-Terminator Z890-A
Geekbench AI Score
3624
Single Precision Score
3640
Half Precision Score
2543
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 08 2026 09:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.3 |
| Model | Maxsun MS-Terminator Z890-A |
| Motherboard | Maxsun MS-Terminator Z890-A |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2924
543.7 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
99% |
1964
366.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3988
64.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1768
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4478
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4480
5.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
5906
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
3045
241.6 IPS |
|
|
Object Detection (HP)
|
100% |
3056
242.4 IPS |
|
|
Object Detection (Q)
|
85% |
2015
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
4887
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
4876
57.9 IPS |
|
|
Face Detection (Q)
|
97% |
3974
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4413
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4439
34.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3222
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5780
7.43 IPS |
|
|
Style Transfer (HP)
|
100% |
5823
7.49 IPS |
|
|
Style Transfer (Q)
|
98% |
9870
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2894
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2676
99.1 IPS |
|
|
Text Classification (SP)
|
100% |
1824
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1000
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3816
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (Q)
|
58% |
812
19.1 IPS |
