Hasee Computer HW15S
Geekbench AI Score
2603
Single Precision Score
1002
Half Precision Score
5008
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 05:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (Q)
|
99% |
3459
645.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6019
97.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4387
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2755
3.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
14395
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
4195
337.2 IPS |
|
|
Face Detection (SP)
|
100% |
4950
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
6368
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5767
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1362
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10261
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10438
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6639
8.53 IPS |
|
|
Style Transfer (Q)
|
98% |
15836
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1724
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1274
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3566
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
456
608.5 IPS |
|
|
Text Classification (Q)
|
97% |
1013
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2113
42.5 IPS |
