Hasee Computer QNLYS Series
Geekbench AI Score
8358
Single Precision Score
10237
Half Precision Score
7059
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | m0rpwr |
| Upload Date | January 05 2026 11:42 PM |
| Views | 4 |
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% |
2420
450.0 IPS |
|
|
Image Classification (HP)
|
100% |
2156
400.9 IPS |
|
|
Image Classification (Q)
|
100% |
1950
362.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6189
100.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6601
107.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5452
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
112306
131.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
184670
215.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
93313
109.3 IPS |
|
|
Object Detection (SP)
|
100% |
3205
254.2 IPS |
|
|
Object Detection (HP)
|
100% |
3294
261.3 IPS |
|
|
Object Detection (Q)
|
86% |
2745
220.6 IPS |
|
|
Face Detection (SP)
|
100% |
9994
118.8 IPS |
|
|
Face Detection (HP)
|
100% |
11514
136.8 IPS |
|
|
Face Detection (Q)
|
97% |
10217
121.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28344
218.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34108
262.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
24214
193.4 IPS |
|
|
Style Transfer (SP)
|
100% |
114411
147.1 IPS |
|
|
Style Transfer (HP)
|
100% |
207187
266.3 IPS |
|
|
Style Transfer (Q)
|
98% |
117121
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9299
343.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14508
535.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7696
285.0 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.8 IPS |
|
|
Text Classification (HP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (Q)
|
97% |
624
835.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
70% |
811
15.2 IPS |
