LENOVO 21TU
Geekbench AI Score
4693
Single Precision Score
4991
Half Precision Score
11826
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | khdhmnyu |
| Upload Date | April 04 2025 09:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21TU |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2970
552.3 IPS |
|
|
Image Classification (HP)
|
100% |
3410
634.1 IPS |
|
|
Image Classification (Q)
|
100% |
8120
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3692
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8095
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6184
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
6085
7.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
22549
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
3064
243.0 IPS |
|
|
Object Detection (Q)
|
88% |
8105
649.7 IPS |
|
|
Face Detection (SP)
|
100% |
7209
85.7 IPS |
|
|
Face Detection (HP)
|
100% |
9442
112.2 IPS |
|
|
Face Detection (Q)
|
100% |
16560
196.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7070
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7882
60.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
19535
151.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17798
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17200
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
61051
78.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3201
118.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3866
142.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12333
456.7 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (Q)
|
92% |
5267
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4920
84.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3474
59.8 IPS |
