Archimonde ASUSTeK COMPUTER INC. NUC15CRSU9
Geekbench AI Score
9688
Single Precision Score
18624
Half Precision Score
23224
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Geeooff |
| Upload Date | June 12 2025 10:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRSU9 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRSU9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6455
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
9966
1.85 KIPS |
|
|
Image Classification (Q)
|
100% |
12836
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7985
129.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17225
279.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20830
337.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22424
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
72749
84.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
139295
163.1 IPS |
|
|
Object Detection (SP)
|
100% |
6409
508.4 IPS |
|
|
Object Detection (HP)
|
100% |
11112
881.4 IPS |
|
|
Object Detection (Q)
|
88% |
13518
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
10926
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
21286
252.9 IPS |
|
|
Face Detection (Q)
|
100% |
27644
328.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20812
160.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
38110
293.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
50049
389.0 IPS |
|
|
Style Transfer (SP)
|
100% |
54290
69.8 IPS |
|
|
Style Transfer (HP)
|
100% |
123801
159.1 IPS |
|
|
Style Transfer (Q)
|
98% |
183211
236.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9086
335.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23625
872.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28748
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (Q)
|
92% |
2549
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4757
81.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4881
84.1 IPS |
