LENOVO 21ALS0KV00
Geekbench AI Score
4382
Single Precision Score
6219
Half Precision Score
9529
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 08:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 21ALS0KV00 |
| Motherboard | LENOVO 21ALS0KV00 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2775
516.0 IPS |
|
|
Image Classification (HP)
|
100% |
3999
743.7 IPS |
|
|
Image Classification (Q)
|
99% |
5488
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3950
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6723
109.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7924
128.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10217
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
7762
9.06 IPS |
|
|
Pose Estimation (Q)
|
97% |
30493
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
3638
288.6 IPS |
|
|
Object Detection (Q)
|
90% |
6361
508.6 IPS |
|
|
Face Detection (SP)
|
100% |
5971
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
10166
120.8 IPS |
|
|
Face Detection (Q)
|
100% |
16067
190.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9513
73.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
15265
118.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
19446
151.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25793
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35540
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
70212
90.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4287
158.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6847
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12629
467.7 IPS |
|
|
Text Classification (SP)
|
71% |
1124
1.63 KIPS |
|
|
Text Classification (HP)
|
71% |
1371
1.98 KIPS |
|
|
Text Classification (Q)
|
92% |
1182
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2202
38.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2235
38.6 IPS |
