TYAN B7130F65TV10H-2T-N
Geekbench AI Score
1751
Single Precision Score
1723
Half Precision Score
1225
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 17 2025 06:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | INTEL(R) XEON(R) GOLD 6526Y |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | TYAN B7130F65TV10H-2T-N |
| Motherboard | TYAN S7130GM2NR-2T |
| CPU Information | |
|---|---|
| Name | INTEL(R) XEON(R) GOLD 6526Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 207 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
1226
228.1 IPS |
|
|
Image Classification (Q)
|
99% |
806
150.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
814
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
3017
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.7 IPS |
|
|
Object Detection (HP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (Q)
|
85% |
941
75.8 IPS |
|
|
Face Detection (SP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
1981
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2106
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2078
16.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1705
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2401
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2394
3.08 IPS |
|
|
Style Transfer (Q)
|
98% |
4828
6.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1194
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (Q)
|
92% |
449
603.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (Q)
|
58% |
469
11.0 IPS |
