Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
16577
Single Precision Score
22373
Half Precision Score
14823
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | muratti |
| Upload Date | January 22 2026 08:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| 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 F8BAC |
| 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% |
1912
355.6 IPS |
|
|
Image Classification (HP)
|
100% |
10653
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
9267
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11913
193.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9999
162.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10375
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
142941
166.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
131785
153.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
127624
149.5 IPS |
|
|
Object Detection (SP)
|
100% |
11534
914.9 IPS |
|
|
Object Detection (HP)
|
100% |
9908
785.9 IPS |
|
|
Object Detection (Q)
|
87% |
3645
292.8 IPS |
|
|
Face Detection (SP)
|
100% |
18470
219.5 IPS |
|
|
Face Detection (HP)
|
100% |
25854
307.2 IPS |
|
|
Face Detection (Q)
|
97% |
16389
195.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34637
266.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
69303
533.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
30475
244.7 IPS |
|
|
Style Transfer (SP)
|
100% |
233586
300.3 IPS |
|
|
Style Transfer (HP)
|
100% |
398757
512.6 IPS |
|
|
Style Transfer (Q)
|
98% |
192796
248.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38049
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45864
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27263
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4307
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2551
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1710
32.1 IPS |
