Hasee Computer HW15S
Geekbench AI Score
3078
Single Precision Score
3028
Half Precision Score
6878
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 05:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Hasee Computer HW15S |
| Motherboard | Hasee Computer Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.6 IPS |
|
|
Image Classification (Q)
|
100% |
4833
898.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2570
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4702
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3857
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1632
1.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
14779
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1856
147.3 IPS |
|
|
Object Detection (HP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (Q)
|
88% |
4944
396.3 IPS |
|
|
Face Detection (SP)
|
100% |
5047
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
5107
60.7 IPS |
|
|
Face Detection (Q)
|
100% |
11334
134.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5053
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4834
37.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
4402
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5525
7.10 IPS |
|
|
Style Transfer (HP)
|
100% |
11427
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39481
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2453
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7737
286.5 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
3183
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2902
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3044
52.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2943
50.7 IPS |
