OEM Rack Server
Geekbench AI Score
1412
Single Precision Score
531
Half Precision Score
1523
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 16 2024 09:23 AM |
| Views | 95 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Hygon TIANXI (OPN:S319) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | OEM Rack Server |
| Motherboard | OEM T2DEHG |
| CPU Information | |
|---|---|
| Name | Hygon TIANXI (OPN:S319) |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | HygonGenuine Family 24 Model 2 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1047
194.7 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.6 IPS |
|
|
Image Classification (Q)
|
96% |
1313
245.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
1048
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3924
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1741
2.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
4391
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
1054
83.6 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (Q)
|
58% |
1020
111.4 IPS |
|
|
Face Detection (SP)
|
100% |
2519
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
585
6.96 IPS |
|
|
Face Detection (Q)
|
96% |
3085
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3751
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
850
6.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
3670
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8289
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
4855
6.24 IPS |
|
|
Style Transfer (Q)
|
87% |
8492
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
746
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
749
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
416
554.8 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.4 IPS |
|
|
Text Classification (Q)
|
97% |
191
255.6 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
68% |
794
15.3 IPS |
