Maxsun MS-Terminator Z890-A
Geekbench AI Score
6105
Single Precision Score
4259
Half Precision Score
15689
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 08 2026 09:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3727
693.1 IPS |
|
|
Image Classification (HP)
|
100% |
2753
512.0 IPS |
|
|
Image Classification (Q)
|
100% |
9953
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4779
77.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11224
181.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6562
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4417
5.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
25428
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3612
286.5 IPS |
|
|
Object Detection (HP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (Q)
|
88% |
10193
817.1 IPS |
|
|
Face Detection (SP)
|
100% |
9941
118.1 IPS |
|
|
Face Detection (HP)
|
100% |
8495
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
26296
312.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9139
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6476
49.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
27518
214.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20090
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12880
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
73506
94.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4314
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2964
109.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14860
550.3 IPS |
|
|
Text Classification (SP)
|
100% |
3510
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2574
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
6436
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
6165
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5443
93.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6138
105.7 IPS |
