Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
3159
Single Precision Score
1482
Half Precision Score
7220
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | tmiller2026 |
| Upload Date | February 23 2026 07:21 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 255 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BSC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 255 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2318
431.0 IPS |
|
|
Image Classification (HP)
|
100% |
574
106.7 IPS |
|
|
Image Classification (Q)
|
99% |
7232
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8556
139.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4333
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3818
4.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
20037
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
2204
174.8 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
6798
546.3 IPS |
|
|
Face Detection (SP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
9449
112.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6813
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2281
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7384
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11054
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10276
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22576
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1840
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5297
196.2 IPS |
|
|
Text Classification (SP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1705
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3211
64.5 IPS |
