HPE HPE Cray XD670
Geekbench AI Score
2090
Single Precision Score
2125
Half Precision Score
1632
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | yusufhadiwinata |
| Upload Date | May 26 2025 05:30 PM |
| Views | 4 |
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% |
1604
298.3 IPS |
|
|
Image Classification (HP)
|
100% |
1548
287.9 IPS |
|
|
Image Classification (Q)
|
99% |
1344
250.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3283
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3227
52.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1137
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3640
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3656
4.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
6680
7.83 IPS |
|
|
Object Detection (SP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (HP)
|
100% |
2196
174.2 IPS |
|
|
Object Detection (Q)
|
85% |
1729
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3856
45.8 IPS |
|
|
Face Detection (Q)
|
97% |
3016
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2601
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2710
20.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1785
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3476
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3751
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
7088
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1453
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1840
68.2 IPS |
|
|
Text Classification (SP)
|
100% |
442
589.6 IPS |
|
|
Text Classification (HP)
|
100% |
431
574.8 IPS |
|
|
Text Classification (Q)
|
92% |
220
295.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1821
31.4 IPS |
|
|
Machine Translation (Q)
|
58% |
494
11.6 IPS |
