HUANANZHI H12D-8D
Geekbench AI Score
3202
Single Precision Score
3163
Half Precision Score
4042
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | July 23 2025 01:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
1652
307.2 IPS |
|
|
Image Classification (Q)
|
100% |
2770
515.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3150
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3320
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5287
85.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8659
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8388
9.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
16958
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.8 IPS |
|
|
Object Detection (HP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (Q)
|
87% |
3397
272.5 IPS |
|
|
Face Detection (SP)
|
100% |
4977
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
4981
59.2 IPS |
|
|
Face Detection (Q)
|
97% |
9551
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6013
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6054
46.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
8858
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21028
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20357
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
45271
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2947
108.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3276
121.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5567
206.2 IPS |
|
|
Text Classification (SP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
91% |
93
125.0 IPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
100% |
696
12.0 IPS |
