Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
6076
Single Precision Score
6007
Half Precision Score
16408
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MTBR-0807 |
| Upload Date | December 08 2024 04:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPBSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4189
779.0 IPS |
|
|
Image Classification (HP)
|
100% |
4156
772.8 IPS |
|
|
Image Classification (Q)
|
100% |
10806
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3995
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4077
66.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10729
173.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8066
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
8091
9.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
30445
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3283
260.4 IPS |
|
|
Object Detection (HP)
|
100% |
3318
263.2 IPS |
|
|
Object Detection (Q)
|
88% |
10709
858.4 IPS |
|
|
Face Detection (SP)
|
100% |
7667
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
7787
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
25685
305.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10024
77.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9841
75.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
27733
215.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22776
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22393
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
85588
110.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4645
171.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4357
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16048
594.3 IPS |
|
|
Text Classification (SP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
92% |
6153
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4667
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4336
74.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6218
107.1 IPS |
