BESSTAR TECH LIMITED HM80
Geekbench AI Score
3903
Single Precision Score
3833
Half Precision Score
10312
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | fakezeta |
| Upload Date | September 04 2024 03:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
2703
502.7 IPS |
|
|
Image Classification (HP)
|
100% |
2614
486.2 IPS |
|
|
Image Classification (Q)
|
100% |
5987
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3227
52.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6092
98.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5463
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5448
6.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
21095
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (Q)
|
88% |
6194
496.5 IPS |
|
|
Face Detection (SP)
|
100% |
7307
86.8 IPS |
|
|
Face Detection (HP)
|
100% |
7101
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
15838
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7007
54.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
7078
54.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
17404
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16078
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16389
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
58078
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3243
119.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3323
122.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10895
403.5 IPS |
|
|
Text Classification (SP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
3709
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2975
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3011
51.9 IPS |
|
|
Machine Translation (Q)
|
85% |
4412
77.2 IPS |
