Hasee Computer QNLYS Series
Geekbench AI Score
2740
Single Precision Score
4012
Half Precision Score
6220
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | m0rpwr |
| Upload Date | May 10 2025 12:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| 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% |
1642
305.3 IPS |
|
|
Image Classification (HP)
|
100% |
2738
509.1 IPS |
|
|
Image Classification (Q)
|
99% |
4038
753.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4093
66.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4887
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4490
5.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
3273
3.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
13401
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
98% |
2464
196.1 IPS |
|
|
Object Detection (Q)
|
90% |
4488
358.8 IPS |
|
|
Face Detection (SP)
|
100% |
5256
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
7990
94.9 IPS |
|
|
Face Detection (Q)
|
100% |
10862
129.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5250
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8747
67.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11880
92.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11638
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18126
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30615
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3387
125.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6906
255.8 IPS |
|
|
Text Classification (SP)
|
71% |
1100
1.59 KIPS |
|
|
Text Classification (HP)
|
71% |
1471
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
1429
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1895
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1876
32.3 IPS |
