MM Vision PRIME-Z890-P-10DE
Geekbench AI Score
3868
Single Precision Score
3889
Half Precision Score
3015
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 02:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | MM Vision PRIME-Z890-P-10DE |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 249.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3364
625.6 IPS |
|
|
Image Classification (HP)
|
100% |
3406
633.4 IPS |
|
|
Image Classification (Q)
|
99% |
2357
439.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5015
81.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5030
81.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2088
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4575
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4582
5.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
8059
9.44 IPS |
|
|
Object Detection (SP)
|
100% |
3633
288.1 IPS |
|
|
Object Detection (HP)
|
100% |
3650
289.6 IPS |
|
|
Object Detection (Q)
|
85% |
2673
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
5381
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
5416
64.4 IPS |
|
|
Face Detection (Q)
|
97% |
4536
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4381
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4431
34.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3758
35.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4804
6.18 IPS |
|
|
Style Transfer (HP)
|
100% |
4812
6.19 IPS |
|
|
Style Transfer (Q)
|
98% |
10809
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3260
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3264
120.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3351
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
1677
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4321
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4247
73.2 IPS |
|
|
Machine Translation (Q)
|
58% |
877
20.6 IPS |
