LENOVO 21D6CTO1WW
Geekbench AI Score
1562
Single Precision Score
1611
Half Precision Score
1058
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 01:39 PM |
| Views | 1 |
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 21D6CTO1WW |
| Motherboard | LENOVO 21D6CTO1WW |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12800HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
685
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.3 IPS |
|
|
Image Classification (Q)
|
100% |
572
106.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4782
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5333
6.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
3251
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
98% |
639
50.8 IPS |
|
|
Object Detection (Q)
|
86% |
625
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
1473
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1109
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2853
22.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3184
24.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2131
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9953
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13497
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7412
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2366
87.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
867
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
435
580.3 IPS |
|
|
Text Classification (Q)
|
97% |
392
525.7 IPS |
|
|
Machine Translation (SP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
70% |
356
6.68 IPS |
