LENOVO 21D6CTO1WW
Geekbench AI Score
14764
Single Precision Score
26463
Half Precision Score
9793
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 01:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A3000 12GB Laptop GPU |
| 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% |
6485
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
10892
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
4767
889.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10176
165.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16608
269.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8114
131.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
66077
77.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
191968
224.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
54928
64.4 IPS |
|
|
Object Detection (SP)
|
100% |
7820
620.3 IPS |
|
|
Object Detection (HP)
|
100% |
14171
1.12 KIPS |
|
|
Object Detection (Q)
|
85% |
5814
468.1 IPS |
|
|
Face Detection (SP)
|
100% |
17304
205.6 IPS |
|
|
Face Detection (HP)
|
100% |
29774
353.8 IPS |
|
|
Face Detection (Q)
|
97% |
13598
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
37235
286.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74391
573.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
25149
201.3 IPS |
|
|
Style Transfer (SP)
|
100% |
117463
151.0 IPS |
|
|
Style Transfer (HP)
|
100% |
324731
417.4 IPS |
|
|
Style Transfer (Q)
|
98% |
94455
121.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21096
779.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37462
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13404
496.3 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
3320
4.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1143
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3802
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1328
24.9 IPS |
