deepblue deepblue BZ-4008 -[7Y37CTO1WW]-
Geekbench AI Score
1605
Single Precision Score
1585
Half Precision Score
1333
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | abostudios |
| Upload Date | February 13 2025 03:13 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Platinum 8252C CPU @ 3.80GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | deepblue deepblue BZ-4008 -[7Y37CTO1WW]- |
| Motherboard | Lenovo -[7Y37CTO1WW]- |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) Platinum 8252C CPU @ 3.80GHz |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 188.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1093
203.3 IPS |
|
|
Image Classification (HP)
|
100% |
1097
204.0 IPS |
|
|
Image Classification (Q)
|
99% |
891
166.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
872
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2097
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2193
2.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
4339
5.08 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (HP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (Q)
|
85% |
1113
89.6 IPS |
|
|
Face Detection (SP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
1782
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1653
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1778
13.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1864
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2091
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2045
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
5641
7.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1489
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
445
598.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (Q)
|
58% |
382
8.96 IPS |
