LENOVO 30GACTO1WW
Geekbench AI Score
12037
Single Precision Score
8635
Half Precision Score
36495
Quantized Score
Geekbench AI 1.6.0 Corporate for Linux AVX2
Result Information
| Upload Date | December 02 2025 08:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
6937
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
5958
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
18197
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10325
167.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8458
137.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30743
498.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19320
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12192
14.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
214204
250.8 IPS |
|
|
Object Detection (SP)
|
100% |
6615
524.7 IPS |
|
|
Object Detection (HP)
|
100% |
5764
457.2 IPS |
|
|
Object Detection (Q)
|
88% |
17441
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
22009
261.5 IPS |
|
|
Face Detection (HP)
|
100% |
15991
190.0 IPS |
|
|
Face Detection (Q)
|
100% |
44401
527.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19229
148.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14591
112.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
59164
460.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57141
73.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30291
38.9 IPS |
|
|
Style Transfer (Q)
|
98% |
496380
640.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10389
383.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6746
249.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38270
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4166
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
4767
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6669
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6361
109.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8432
145.2 IPS |
