ASUS System Product Name
Geekbench AI Score
8138
Single Precision Score
10284
Half Precision Score
15808
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 24 2025 08:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B860M-A WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5396
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
7154
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9909
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7056
114.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2855
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3405
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11490
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34135
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75262
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
5075
402.5 IPS |
|
|
Object Detection (HP)
|
100% |
6111
484.7 IPS |
|
|
Object Detection (Q)
|
88% |
10206
818.3 IPS |
|
|
Face Detection (SP)
|
100% |
15110
179.5 IPS |
|
|
Face Detection (HP)
|
100% |
18703
222.2 IPS |
|
|
Face Detection (Q)
|
100% |
34039
404.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13481
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18624
143.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34568
269.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28183
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54823
70.5 IPS |
|
|
Style Transfer (Q)
|
98% |
99235
128.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7152
264.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16150
596.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31246
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2119
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3640
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4811
82.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4864
83.8 IPS |
