LENOVO 21D6CTO1WW
Geekbench AI Score
1583
Single Precision Score
1621
Half Precision Score
1071
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:18 PM |
| Views | 2 |
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% |
684
127.2 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.0 IPS |
|
|
Image Classification (Q)
|
100% |
594
110.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1064
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4872
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
5301
6.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
3238
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
766
60.8 IPS |
|
|
Object Detection (HP)
|
98% |
633
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
636
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
1529
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1147
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2864
22.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3131
24.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2124
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9955
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13489
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7398
9.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2360
87.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
864
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.6 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.8 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
70% |
360
6.76 IPS |
