LENOVO 21TL
Geekbench AI Score
6572
Single Precision Score
6984
Half Precision Score
16148
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | jzwVIC |
| Upload Date | March 18 2025 01:26 AM |
| Views | 3 |
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 | High performance |
| 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% |
4537
843.7 IPS |
|
|
Image Classification (HP)
|
100% |
4989
927.7 IPS |
|
|
Image Classification (Q)
|
100% |
11188
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5142
83.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3102
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11153
180.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8946
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8467
9.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
31756
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
3587
284.5 IPS |
|
|
Object Detection (HP)
|
100% |
4666
370.1 IPS |
|
|
Object Detection (Q)
|
88% |
11877
952.1 IPS |
|
|
Face Detection (SP)
|
100% |
10605
126.0 IPS |
|
|
Face Detection (HP)
|
100% |
13564
161.2 IPS |
|
|
Face Detection (Q)
|
100% |
23422
278.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9876
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11321
87.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
28514
221.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23446
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24509
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
85921
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5045
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16881
625.2 IPS |
|
|
Text Classification (SP)
|
100% |
3816
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (Q)
|
92% |
5998
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4252
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6863
118.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4411
76.0 IPS |
