Hasee Computer QNLYS Series
Geekbench AI Score
4461
Single Precision Score
1278
Half Precision Score
6972
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | m0rpwr |
| Upload Date | May 10 2025 01:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Hasee Computer QNLYS Series |
| Motherboard | Hasee Computer QNLYS Series |
| Power Plan | Gaming |
| 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% |
3570
663.8 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
99% |
5894
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3691
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9681
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4174
4.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
27835
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
3428
271.9 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
6665
535.6 IPS |
|
|
Face Detection (SP)
|
100% |
9831
116.8 IPS |
|
|
Face Detection (HP)
|
100% |
1401
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
10101
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10235
78.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1550
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15351
122.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17514
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9393
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21954
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3107
114.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4282
158.5 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
576
769.4 IPS |
|
|
Text Classification (Q)
|
97% |
1464
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3152
63.3 IPS |
