ASUSTeK COMPUTER INC. NUC15CRHU7
Geekbench AI Score
4352
Single Precision Score
1706
Half Precision Score
7263
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | codrutneagu |
| Upload Date | May 21 2025 08:33 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRHU7 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3417
635.5 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.5 IPS |
|
|
Image Classification (Q)
|
99% |
7383
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3158
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7925
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
5417
6.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
26254
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
3044
241.4 IPS |
|
|
Object Detection (HP)
|
100% |
751
59.6 IPS |
|
|
Object Detection (Q)
|
86% |
6642
533.8 IPS |
|
|
Face Detection (SP)
|
100% |
8358
99.3 IPS |
|
|
Face Detection (HP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
9895
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10051
77.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2338
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16043
128.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16000
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13185
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24414
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3287
121.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2334
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4500
166.6 IPS |
|
|
Text Classification (SP)
|
100% |
1637
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1491
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3867
77.7 IPS |
