HUANANZHI H12D-8D
Geekbench AI Score
2779
Single Precision Score
890
Half Precision Score
4195
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | July 23 2025 01:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7B13 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HUANANZHI H12D-8D |
| Motherboard | HUANANZHI H12D-8D |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7B13 64-Core Processor |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.25 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1762
327.7 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (Q)
|
96% |
2891
539.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
2159
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12041
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5200
6.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
28418
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (Q)
|
58% |
2913
318.3 IPS |
|
|
Face Detection (SP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.88 IPS |
|
|
Face Detection (Q)
|
96% |
6732
80.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8643
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1533
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8413
67.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17514
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10832
13.9 IPS |
|
|
Style Transfer (Q)
|
87% |
26799
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1261
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1098
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1465
54.3 IPS |
|
|
Text Classification (SP)
|
100% |
733
978.0 IPS |
|
|
Text Classification (HP)
|
100% |
332
443.6 IPS |
|
|
Text Classification (Q)
|
97% |
844
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
68% |
1742
33.7 IPS |
