Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
2396
Single Precision Score
2401
Half Precision Score
2270
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | tobinhall |
| Upload Date | February 19 2025 12:19 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX |
| System Information | |
|---|---|
| Operating System | Fedora CoreOS 40.20240416.3.1 |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.2 IPS |
|
|
Image Classification (HP)
|
100% |
1623
301.9 IPS |
|
|
Image Classification (Q)
|
99% |
1555
289.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2986
48.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1505
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3252
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3252
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
5997
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (Q)
|
85% |
1913
154.0 IPS |
|
|
Face Detection (SP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
3235
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2663
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2684
20.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2773
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3347
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3337
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
8109
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1632
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1637
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2449
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
1701
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (Q)
|
92% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (Q)
|
58% |
827
19.4 IPS |
