LENOVO 21Q60027US
Geekbench AI Score
3171
Single Precision Score
18222
Half Precision Score
29752
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | June 30 2025 04:10 AM |
| Views | 5 |
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 21Q60027US |
| Motherboard | LENOVO 21Q60027US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1890
351.5 IPS |
|
|
Image Classification (HP)
|
100% |
7879
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
10016
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15259
247.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28545
462.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3403
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
102095
119.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
188564
220.9 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
9497
753.3 IPS |
|
|
Object Detection (Q)
|
87% |
23012
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
5614
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
25611
304.3 IPS |
|
|
Face Detection (Q)
|
100% |
57766
686.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4658
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
64929
500.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
99600
775.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10065
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205738
264.5 IPS |
|
|
Style Transfer (Q)
|
98% |
295038
380.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2076
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22667
837.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
51332
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2139
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1493
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
1769
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2842
49.0 IPS |
