Hasee Computer HW15S
Geekbench AI Score
4281
Single Precision Score
5998
Half Precision Score
8857
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 05:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
2701
502.3 IPS |
|
|
Image Classification (HP)
|
100% |
4059
754.8 IPS |
|
|
Image Classification (Q)
|
99% |
4910
915.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4061
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6732
109.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7391
119.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10413
12.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7627
8.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
29385
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
2557
202.8 IPS |
|
|
Object Detection (HP)
|
100% |
3777
299.6 IPS |
|
|
Object Detection (Q)
|
90% |
5669
453.3 IPS |
|
|
Face Detection (SP)
|
100% |
6102
72.5 IPS |
|
|
Face Detection (HP)
|
100% |
10570
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
15680
186.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9188
70.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
14446
111.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
18574
144.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24835
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38023
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
68516
88.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4250
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6520
240.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11404
422.3 IPS |
|
|
Text Classification (SP)
|
71% |
972
1.41 KIPS |
|
|
Text Classification (HP)
|
71% |
1012
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2000
34.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1995
34.5 IPS |
