LENOVO 30GACTO1WW
Geekbench AI Score
5118
Single Precision Score
1079
Half Precision Score
9689
Quantized Score
Geekbench AI 1.6.0 Corporate for Linux AVX2
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) w5-2555X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | LENOVO 30GACTO1WW |
| Motherboard | LENOVO 1055 |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) w5-2555X |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3011
559.9 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (Q)
|
97% |
9794
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
4157
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19772
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11747
13.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
51150
60.0 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
86% |
10948
879.8 IPS |
|
|
Face Detection (SP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (HP)
|
100% |
393
4.67 IPS |
|
|
Face Detection (Q)
|
97% |
23979
285.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13611
104.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1094
8.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
20529
163.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23048
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17095
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24232
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3648
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5444
201.6 IPS |
|
|
Text Classification (SP)
|
100% |
1941
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
549
732.6 IPS |
|
|
Text Classification (Q)
|
97% |
1489
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3310
66.5 IPS |
