Notebook N960Kx
Geekbench AI Score
3411
Single Precision Score
1334
Half Precision Score
3736
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 05:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900 |
| System Information | |
|---|---|
| Operating System | KHMIELNYK Windows 11 Pro Modified by KHMIELNYK (64-bit) |
| Model | Notebook N960Kx |
| Motherboard | Notebook N960Kx |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2954
549.4 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
96% |
4402
822.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2063
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6056
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4683
5.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
10813
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
582
46.1 IPS |
|
|
Object Detection (Q)
|
58% |
2602
284.3 IPS |
|
|
Face Detection (SP)
|
100% |
3819
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
1186
14.1 IPS |
|
|
Face Detection (Q)
|
96% |
6593
78.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8060
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1863
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9413
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15743
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11686
15.0 IPS |
|
|
Style Transfer (Q)
|
87% |
14316
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2011
74.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2760
102.3 IPS |
|
|
Text Classification (SP)
|
100% |
1405
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
654
872.5 IPS |
|
|
Text Classification (Q)
|
97% |
376
503.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2253
43.5 IPS |
