ASUS System Product Name
Geekbench AI Score
4443
Single Precision Score
10491
Half Precision Score
16278
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | aliBencher |
| Upload Date | February 06 2026 09:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Balanced |
| 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 | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3227
600.1 IPS |
|
|
Image Classification (HP)
|
100% |
7539
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
10562
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3453
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5452
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
34057
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75408
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
2800
222.1 IPS |
|
|
Object Detection (HP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (Q)
|
88% |
10718
859.3 IPS |
|
|
Face Detection (SP)
|
100% |
8106
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
18663
221.8 IPS |
|
|
Face Detection (Q)
|
100% |
34829
413.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6264
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18856
145.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
35139
273.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14531
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54736
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
99899
128.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2856
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16563
611.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32347
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2260
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4907
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4960
85.4 IPS |
