Hasee Computer QNLYS Series
Geekbench AI Score
4299
Single Precision Score
4282
Half Precision Score
11267
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | m0rpwr |
| Upload Date | May 10 2025 12:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
2926
544.1 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.4 IPS |
|
|
Image Classification (Q)
|
100% |
8830
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5214
84.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7333
8.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
7371
8.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
27466
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.6 IPS |
|
|
Object Detection (HP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (Q)
|
88% |
9387
752.5 IPS |
|
|
Face Detection (SP)
|
100% |
8590
102.1 IPS |
|
|
Face Detection (HP)
|
100% |
8611
102.3 IPS |
|
|
Face Detection (Q)
|
100% |
20861
247.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6697
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6517
50.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
24487
190.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20977
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21147
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
42319
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2641
97.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2723
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14703
544.5 IPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
4737
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1846
31.8 IPS |
