LENOVO 21QESIT004
Geekbench AI Score
4913
Single Precision Score
9740
Half Precision Score
14772
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 08:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QESIT004 |
| Motherboard | LENOVO 21QESIT004 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3390
630.4 IPS |
|
|
Image Classification (HP)
|
100% |
6932
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9658
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4059
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3890
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6724
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
34405
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
74275
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
6063
480.9 IPS |
|
|
Object Detection (Q)
|
87% |
9919
796.0 IPS |
|
|
Face Detection (SP)
|
100% |
8244
98.0 IPS |
|
|
Face Detection (HP)
|
100% |
16246
193.0 IPS |
|
|
Face Detection (Q)
|
100% |
28004
332.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7528
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17872
137.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32500
252.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18633
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50302
64.7 IPS |
|
|
Style Transfer (Q)
|
98% |
92161
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3393
125.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14093
520.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23502
870.4 IPS |
|
|
Text Classification (SP)
|
100% |
2696
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2122
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3309
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4237
73.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4276
73.6 IPS |
