Hasee Computer QNLYS Series
Geekbench AI Score
2083
Single Precision Score
2082
Half Precision Score
3973
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | m0rpwr |
| Upload Date | January 06 2026 01:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
794
147.7 IPS |
|
|
Image Classification (HP)
|
100% |
963
179.2 IPS |
|
|
Image Classification (Q)
|
100% |
1947
362.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2190
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4187
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3829
4.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
9200
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
88% |
3492
279.9 IPS |
|
|
Face Detection (SP)
|
100% |
4538
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
3731
44.3 IPS |
|
|
Face Detection (Q)
|
100% |
5547
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3398
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3676
28.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
6715
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9922
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9928
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25352
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5548
205.5 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
92% |
1654
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
100% |
827
14.3 IPS |
