LENOVO 21QT0029US
Geekbench AI Score
5307
Single Precision Score
5773
Half Precision Score
12969
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | March 14 2026 10:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QT0029US |
| Motherboard | LENOVO 21QT0029US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3850
715.9 IPS |
|
|
Image Classification (HP)
|
100% |
4072
757.3 IPS |
|
|
Image Classification (Q)
|
100% |
9089
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4143
67.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8664
140.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7589
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
7314
8.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
26154
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
2831
224.6 IPS |
|
|
Object Detection (HP)
|
100% |
3949
313.2 IPS |
|
|
Object Detection (Q)
|
88% |
9811
786.5 IPS |
|
|
Face Detection (SP)
|
100% |
7898
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10740
127.6 IPS |
|
|
Face Detection (Q)
|
100% |
17714
210.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7323
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8544
65.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
23544
183.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20238
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20756
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
68040
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4770
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14210
526.2 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (Q)
|
92% |
4774
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5326
91.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3463
59.7 IPS |
