LENOVO 21CBS0FH00
Geekbench AI Score
1988
Single Precision Score
2096
Half Precision Score
1379
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oiskin |
| Upload Date | October 09 2025 01:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21CBS0FH00 |
| Motherboard | LENOVO 21CBS0FH00 |
| Power Plan | Balanced |
| 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% |
1132
210.4 IPS |
|
|
Image Classification (HP)
|
100% |
951
176.8 IPS |
|
|
Image Classification (Q)
|
100% |
911
169.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
956
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4588
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
5764
6.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
3180
3.72 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (HP)
|
98% |
873
69.4 IPS |
|
|
Object Detection (Q)
|
86% |
856
68.8 IPS |
|
|
Face Detection (SP)
|
100% |
1796
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
2483
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
1486
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2820
21.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4085
31.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2721
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18383
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30621
39.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14054
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2642
97.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1090
40.4 IPS |
|
|
Text Classification (SP)
|
100% |
625
833.6 IPS |
|
|
Text Classification (HP)
|
100% |
308
411.0 IPS |
|
|
Text Classification (Q)
|
97% |
393
526.3 IPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
70% |
431
8.09 IPS |
