LENOVO 21BVCTO1WW
Geekbench AI Score
1676
Single Precision Score
1873
Half Precision Score
1119
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | avogt-avogt |
| Upload Date | January 11 2026 07:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21BVCTO1WW |
| Motherboard | LENOVO 21BVCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
729
135.6 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.5 IPS |
|
|
Image Classification (Q)
|
100% |
695
129.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4870
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
6432
7.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
3282
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
830
65.8 IPS |
|
|
Object Detection (HP)
|
98% |
806
64.1 IPS |
|
|
Object Detection (Q)
|
86% |
717
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
1426
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
2047
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
1061
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3361
25.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4049
31.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2449
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13230
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17764
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8307
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2108
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3078
113.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
872
32.3 IPS |
|
|
Text Classification (SP)
|
100% |
612
817.5 IPS |
|
|
Text Classification (HP)
|
100% |
316
422.1 IPS |
|
|
Text Classification (Q)
|
97% |
348
466.3 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
70% |
373
7.00 IPS |
