Hasee Computer HW15S
Geekbench AI Score
2694
Single Precision Score
1048
Half Precision Score
4018
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 05:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2127
395.6 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
99% |
3478
648.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4021
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4449
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2733
3.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
14976
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1994
158.1 IPS |
|
|
Object Detection (HP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (Q)
|
86% |
3764
302.5 IPS |
|
|
Face Detection (SP)
|
100% |
4925
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
6140
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6019
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1448
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9028
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9832
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6126
7.88 IPS |
|
|
Style Transfer (Q)
|
98% |
15291
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2713
100.5 IPS |
|
|
Text Classification (SP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
466
621.5 IPS |
|
|
Text Classification (Q)
|
97% |
342
457.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (Q)
|
65% |
1771
35.6 IPS |
