LENOVO 21Q80018US
Geekbench AI Score
5426
Single Precision Score
2232
Half Precision Score
10004
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21Q80018US |
| Motherboard | LENOVO 21Q80018US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4473
831.9 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
99% |
9179
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12566
204.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9271
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6568
7.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
31952
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3952
313.4 IPS |
|
|
Object Detection (HP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (Q)
|
86% |
9628
773.8 IPS |
|
|
Face Detection (SP)
|
100% |
11837
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
2230
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
11700
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11413
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2799
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20113
160.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21960
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15946
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26563
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6579
243.6 IPS |
|
|
Text Classification (SP)
|
100% |
1968
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1668
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4127
82.9 IPS |
