Hasee Computer QNLYS Series
Geekbench AI Score
2132
Single Precision Score
664
Half Precision Score
3394
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | m0rpwr |
| Upload Date | January 06 2026 01:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| 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% |
1810
336.5 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
99% |
2148
400.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
4208
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4231
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2138
2.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
11803
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1710
135.6 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
86% |
2864
230.2 IPS |
|
|
Face Detection (SP)
|
100% |
4607
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
663
7.88 IPS |
|
|
Face Detection (Q)
|
97% |
4101
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5444
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
893
6.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
8193
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11401
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
4982
6.40 IPS |
|
|
Style Transfer (Q)
|
98% |
13889
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2450
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
578
771.4 IPS |
|
|
Text Classification (HP)
|
100% |
276
368.1 IPS |
|
|
Text Classification (Q)
|
97% |
448
599.6 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (Q)
|
65% |
1299
26.1 IPS |
