LENOVO 21Q60027US
Geekbench AI Score
10420
Single Precision Score
25732
Half Precision Score
28223
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | June 30 2025 04:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7046
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
14229
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
16646
3.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9766
158.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24320
394.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29320
475.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21444
25.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
127250
148.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
250654
293.5 IPS |
|
|
Object Detection (SP)
|
100% |
6472
513.4 IPS |
|
|
Object Detection (HP)
|
100% |
15677
1.24 KIPS |
|
|
Object Detection (Q)
|
88% |
14202
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
13325
158.3 IPS |
|
|
Face Detection (HP)
|
100% |
27669
328.8 IPS |
|
|
Face Detection (Q)
|
100% |
34647
411.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24369
187.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
59078
455.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
65145
506.6 IPS |
|
|
Style Transfer (SP)
|
100% |
47475
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
155815
200.3 IPS |
|
|
Style Transfer (Q)
|
98% |
158579
204.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9405
347.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26438
976.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32070
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4997
6.67 KIPS |
|
|
Text Classification (Q)
|
92% |
3015
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5480
94.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5333
91.9 IPS |
