N-one Nbook Ultra
Geekbench AI Score
2967
Single Precision Score
1352
Half Precision Score
6640
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 01:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | N-one Nbook Ultra |
| Motherboard | N-one W042_67A_MB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2800
520.7 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.8 IPS |
|
|
Image Classification (Q)
|
99% |
8262
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9598
156.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4033
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3504
4.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
16741
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
86% |
6026
484.3 IPS |
|
|
Face Detection (SP)
|
100% |
4875
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
9072
108.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5807
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1975
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6151
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9903
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9361
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21823
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1648
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4834
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1503
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1865
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2357
47.4 IPS |
