LENOVO 30BFS44D00
Geekbench AI Score
1044
Single Precision Score
1043
Half Precision Score
829
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Repeated3770 |
| Upload Date | May 09 2025 02:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon W-2135 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | LENOVO 30BFS44D00 |
| Motherboard | LENOVO 1036 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2135 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
779
144.8 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.5 IPS |
|
|
Image Classification (Q)
|
99% |
574
107.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
554
9.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
1230
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1230
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
1756
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (HP)
|
100% |
911
72.3 IPS |
|
|
Object Detection (Q)
|
85% |
606
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
1386
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1198
9.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
1198
9.23 IPS |
|
|
Depth Estimation (Q)
|
63% |
1217
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1366
1.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1370
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2928
3.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
858
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
388
521.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (Q)
|
58% |
257
6.02 IPS |
