LENOVO 21TL
Geekbench AI Score
6536
Single Precision Score
6980
Half Precision Score
15914
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | jzwVIC |
| Upload Date | March 18 2025 12:22 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21TL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4584
852.5 IPS |
|
|
Image Classification (HP)
|
100% |
5030
935.4 IPS |
|
|
Image Classification (Q)
|
100% |
11318
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5133
83.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3126
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11103
180.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8966
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8548
9.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
32028
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3638
288.6 IPS |
|
|
Object Detection (HP)
|
100% |
4618
366.3 IPS |
|
|
Object Detection (Q)
|
88% |
11992
961.3 IPS |
|
|
Face Detection (SP)
|
100% |
10654
126.6 IPS |
|
|
Face Detection (HP)
|
100% |
13499
160.4 IPS |
|
|
Face Detection (Q)
|
100% |
23025
273.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9778
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11054
85.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
28577
222.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23645
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24674
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
86519
111.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4854
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5484
202.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17109
633.6 IPS |
|
|
Text Classification (SP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (Q)
|
92% |
5736
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6774
116.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3865
66.6 IPS |
