Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
3805
Single Precision Score
1811
Half Precision Score
7738
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JoeGasper |
| Upload Date | July 13 2025 03:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3055
568.1 IPS |
|
|
Image Classification (HP)
|
100% |
629
116.9 IPS |
|
|
Image Classification (Q)
|
99% |
7560
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10577
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7092
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5735
6.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
27073
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3088
245.0 IPS |
|
|
Object Detection (HP)
|
100% |
863
68.4 IPS |
|
|
Object Detection (Q)
|
86% |
7859
631.6 IPS |
|
|
Face Detection (SP)
|
100% |
6590
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
1937
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
9820
117.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8673
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2658
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17108
136.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16541
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14367
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31765
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2309
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1965
72.8 IPS |
|
|
Text Classification (SP)
|
100% |
1631
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1525
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2832
56.9 IPS |
