ASUS System Product Name
Geekbench AI Score
3232
Single Precision Score
9863
Half Precision Score
14801
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 01:40 PM |
| Views | 3 |
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. PRIME B860M-K |
| Power Plan | Bitsum Highest Performance |
| 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% |
1946
362.0 IPS |
|
|
Image Classification (HP)
|
100% |
6936
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9499
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3224
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3926
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
34162
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74605
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
1937
153.6 IPS |
|
|
Object Detection (HP)
|
100% |
5724
454.0 IPS |
|
|
Object Detection (Q)
|
88% |
9112
730.5 IPS |
|
|
Face Detection (SP)
|
100% |
5690
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
17077
202.9 IPS |
|
|
Face Detection (Q)
|
100% |
28293
336.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5167
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18947
146.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
34807
270.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11174
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54763
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
99649
128.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15928
588.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30477
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
1928
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2289
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3541
61.0 IPS |
