LENOVO 30BFS44D00
Geekbench AI Score
3011
Single Precision Score
1109
Half Precision Score
3234
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | June 09 2025 04:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-2135 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 30BFS44D00 |
| Motherboard | LENOVO 1036 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2135 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2168
403.2 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
96% |
3752
700.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
1652
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6037
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3774
4.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
10657
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
58% |
2100
229.5 IPS |
|
|
Face Detection (SP)
|
100% |
4700
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (Q)
|
96% |
6474
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7852
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1489
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8073
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16348
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10410
13.4 IPS |
|
|
Style Transfer (Q)
|
87% |
14596
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2403
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1809
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
577
770.3 IPS |
|
|
Text Classification (Q)
|
97% |
393
526.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
68% |
1666
32.2 IPS |
