BESSTAR TECH LIMITED HM80
Geekbench AI Score
2822
Single Precision Score
742
Half Precision Score
3591
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | fakezeta |
| Upload Date | September 04 2024 04:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BESSTAR TECH LIMITED HM80 |
| Motherboard | |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600 |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1542
286.8 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (Q)
|
99% |
2965
553.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
2284
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5129
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4275
4.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
18366
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1997
158.4 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (Q)
|
88% |
1856
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
289
3.43 IPS |
|
|
Face Detection (Q)
|
97% |
3603
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5924
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
880
6.78 IPS |
|
|
Depth Estimation (Q)
|
76% |
7881
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12897
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10833
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19452
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2480
91.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1875
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3423
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
1539
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
652
869.9 IPS |
|
|
Text Classification (Q)
|
97% |
444
595.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1845
41.2 IPS |
