Hasee Computer QNLYS Series
Geekbench AI Score
30097
Single Precision Score
53192
Half Precision Score
22756
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | m0rpwr |
| Upload Date | May 10 2025 04:04 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12413
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
20224
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
10757
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20625
334.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
31395
508.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18784
305.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
179234
209.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
518806
605.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
146427
171.5 IPS |
|
|
Object Detection (SP)
|
100% |
16210
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
25469
2.02 KIPS |
|
|
Object Detection (Q)
|
86% |
14221
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
43385
515.5 IPS |
|
|
Face Detection (HP)
|
100% |
64757
769.5 IPS |
|
|
Face Detection (Q)
|
97% |
36568
436.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
67944
523.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
156774
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
53067
423.8 IPS |
|
|
Style Transfer (SP)
|
100% |
263371
338.6 IPS |
|
|
Style Transfer (HP)
|
100% |
909664
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
236614
305.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43756
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81429
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33104
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4811
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2347
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6194
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5974
102.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2481
46.5 IPS |
