HPE HPE Cray XD670
Geekbench AI Score
2064
Single Precision Score
2080
Half Precision Score
1633
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | yusufhadiwinata |
| Upload Date | May 26 2025 05:23 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | INTEL(R) XEON(R) PLATINUM 8568Y+ |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | HPE HPE Cray XD670 |
| Motherboard | Gigabyte HPE Cray XD670 |
| CPU Information | |
|---|---|
| Name | INTEL(R) XEON(R) PLATINUM 8568Y+ |
| Topology | 2 Processors, 96 Cores, 192 Threads |
| Identifier | GenuineIntel Family 6 Model 207 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 2015.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1506
280.0 IPS |
|
|
Image Classification (HP)
|
100% |
1476
274.4 IPS |
|
|
Image Classification (Q)
|
99% |
1349
251.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3291
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3310
53.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1146
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3601
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3877
4.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
6808
7.98 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
100% |
1879
149.1 IPS |
|
|
Object Detection (Q)
|
85% |
1610
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
2588
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2821
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2817
21.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1897
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3815
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3500
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
7452
9.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1501
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1822
67.5 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.2 IPS |
|
|
Text Classification (HP)
|
100% |
461
615.4 IPS |
|
|
Text Classification (Q)
|
92% |
250
336.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (Q)
|
58% |
479
11.3 IPS |
