HUANANZHI H12D-8D
Geekbench AI Score
1117
Single Precision Score
1122
Half Precision Score
747
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | nikhilr |
| Upload Date | August 15 2025 04:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 7K62 48-Core Processor |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | HUANANZHI H12D-8D |
| Motherboard | HUANANZHI H12D-8D |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7K62 48-Core Processor |
| Topology | 1 Processor, 48 Cores, 96 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 503.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
886
164.7 IPS |
|
|
Image Classification (HP)
|
100% |
896
166.7 IPS |
|
|
Image Classification (Q)
|
99% |
568
105.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
573
9.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
2686
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
860
68.2 IPS |
|
|
Object Detection (HP)
|
100% |
866
68.7 IPS |
|
|
Object Detection (Q)
|
85% |
707
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
737
8.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1299
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1302
10.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
893
8.37 IPS |
|
|
Style Transfer (SP)
|
100% |
1839
2.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1827
2.35 IPS |
|
|
Style Transfer (Q)
|
98% |
3189
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1113
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
332
443.0 IPS |
|
|
Text Classification (HP)
|
100% |
341
455.6 IPS |
|
|
Text Classification (Q)
|
92% |
183
245.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (Q)
|
58% |
205
4.82 IPS |
