Hasee Computer QNLYS Series
Geekbench AI Score
7770
Single Precision Score
8918
Half Precision Score
6816
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | m0rpwr |
| Upload Date | January 06 2026 01:39 AM |
| Views | 1 |
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% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (Q)
|
100% |
1912
355.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6034
97.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6727
109.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5818
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
118691
138.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
211472
246.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
103254
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
4176
331.2 IPS |
|
|
Object Detection (HP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (Q)
|
86% |
2953
237.3 IPS |
|
|
Face Detection (SP)
|
100% |
9123
108.4 IPS |
|
|
Face Detection (HP)
|
100% |
10109
120.1 IPS |
|
|
Face Detection (Q)
|
97% |
8830
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28523
219.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36518
281.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
22843
182.4 IPS |
|
|
Style Transfer (SP)
|
100% |
121033
155.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207604
266.9 IPS |
|
|
Style Transfer (Q)
|
98% |
116284
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10012
369.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12632
466.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8642
320.0 IPS |
|
|
Text Classification (SP)
|
100% |
368
491.3 IPS |
|
|
Text Classification (HP)
|
100% |
358
478.1 IPS |
|
|
Text Classification (Q)
|
97% |
343
459.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
70% |
918
17.2 IPS |
