Hasee Computer QNLYS Series
Geekbench AI Score
8728
Single Precision Score
11323
Half Precision Score
7340
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | m0rpwr |
| Upload Date | January 05 2026 11:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N for Workstations (64-bit) |
| Model | Hasee Computer QNLYS Series |
| Motherboard | Hasee Computer QNLYS Series |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2370
440.8 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (Q)
|
100% |
1877
349.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6014
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6609
107.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5735
93.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
114678
133.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
180438
210.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
100028
117.2 IPS |
|
|
Object Detection (SP)
|
100% |
3103
246.1 IPS |
|
|
Object Detection (HP)
|
100% |
4481
355.5 IPS |
|
|
Object Detection (Q)
|
86% |
3164
254.2 IPS |
|
|
Face Detection (SP)
|
100% |
9373
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
13564
161.2 IPS |
|
|
Face Detection (Q)
|
97% |
8296
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28887
222.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
40353
310.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
23762
189.8 IPS |
|
|
Style Transfer (SP)
|
100% |
129676
166.7 IPS |
|
|
Style Transfer (HP)
|
100% |
267602
344.0 IPS |
|
|
Style Transfer (Q)
|
98% |
111187
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13903
513.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16790
620.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11832
438.1 IPS |
|
|
Text Classification (SP)
|
100% |
747
996.4 IPS |
|
|
Text Classification (HP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
588
788.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (Q)
|
70% |
874
16.4 IPS |
