LENOVO 30BYS6QC00
Geekbench AI Score
30
Single Precision Score
30
Half Precision Score
22
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| User | Koyo |
| Upload Date | July 09 2025 01:54 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon W-2223 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | LENOVO 30BYS6QC00 |
| Motherboard | LENOVO 1036 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2223 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17
3.14 IPS |
|
|
Image Classification (HP)
|
100% |
17
3.08 IPS |
|
|
Image Classification (Q)
|
97% |
14
2.52 IPS |
|
|
Image Segmentation (SP)
|
100% |
23
0.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
23
0.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
18
0.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
28
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
28
0.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
22
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
17
1.31 IPS |
|
|
Object Detection (HP)
|
100% |
17
1.31 IPS |
|
|
Object Detection (Q)
|
87% |
13
1.05 IPS |
|
|
Face Detection (SP)
|
100% |
55
0.66 IPS |
|
|
Face Detection (HP)
|
100% |
55
0.66 IPS |
|
|
Face Detection (Q)
|
97% |
43
0.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
40
0.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
40
0.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
27
0.25 IPS |
|
|
Style Transfer (SP)
|
100% |
85
0.11 IPS |
|
|
Style Transfer (HP)
|
100% |
85
0.11 IPS |
|
|
Style Transfer (Q)
|
98% |
68
0.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18
0.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18
0.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14
0.53 IPS |
|
|
Text Classification (SP)
|
100% |
23
30.1 IPS |
|
|
Text Classification (HP)
|
100% |
23
30.0 IPS |
|
|
Text Classification (Q)
|
91% |
17
22.9 IPS |
|
|
Machine Translation (SP)
|
100% |
44
0.75 IPS |
|
|
Machine Translation (HP)
|
100% |
44
0.75 IPS |
|
|
Machine Translation (Q)
|
58% |
23
0.55 IPS |
