Hasee Computer QNLYS Series
Geekbench AI Score
8097
Single Precision Score
10570
Half Precision Score
7237
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | m0rpwr |
| Upload Date | January 05 2026 11:25 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% |
2111
392.6 IPS |
|
|
Image Classification (HP)
|
100% |
2106
391.6 IPS |
|
|
Image Classification (Q)
|
100% |
2030
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5583
90.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6627
107.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5824
94.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
126420
147.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
218320
254.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
113904
133.4 IPS |
|
|
Object Detection (SP)
|
100% |
4120
326.8 IPS |
|
|
Object Detection (HP)
|
100% |
6899
547.2 IPS |
|
|
Object Detection (Q)
|
86% |
3121
250.7 IPS |
|
|
Face Detection (SP)
|
100% |
12272
145.8 IPS |
|
|
Face Detection (HP)
|
100% |
13433
159.6 IPS |
|
|
Face Detection (Q)
|
97% |
9079
108.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
29027
223.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
53013
408.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
25696
205.2 IPS |
|
|
Style Transfer (SP)
|
100% |
133363
171.4 IPS |
|
|
Style Transfer (HP)
|
100% |
226873
291.6 IPS |
|
|
Style Transfer (Q)
|
98% |
125149
161.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9630
355.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12109
447.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8838
327.3 IPS |
|
|
Text Classification (SP)
|
100% |
384
513.1 IPS |
|
|
Text Classification (HP)
|
100% |
364
486.2 IPS |
|
|
Text Classification (Q)
|
97% |
414
555.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1124
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
70% |
878
16.5 IPS |
