LENOVO 21TDCTO1WW
Geekbench AI Score
16894
Single Precision Score
32762
Half Precision Score
13382
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 18 2025 09:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21TDCTO1WW |
| Motherboard | LENOVO 21TDCTO1WW |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6511
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
12426
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
6222
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13079
212.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21641
350.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12634
205.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
85818
100.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
273743
319.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
78798
92.3 IPS |
|
|
Object Detection (SP)
|
100% |
9089
720.9 IPS |
|
|
Object Detection (HP)
|
100% |
16189
1.28 KIPS |
|
|
Object Detection (Q)
|
83% |
7745
625.8 IPS |
|
|
Face Detection (SP)
|
100% |
23307
276.9 IPS |
|
|
Face Detection (HP)
|
100% |
40274
478.5 IPS |
|
|
Face Detection (Q)
|
97% |
20681
246.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
40966
315.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
91572
705.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
32847
262.2 IPS |
|
|
Style Transfer (SP)
|
100% |
125113
160.8 IPS |
|
|
Style Transfer (HP)
|
100% |
435888
560.3 IPS |
|
|
Style Transfer (Q)
|
98% |
106319
137.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22471
829.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47366
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18820
696.9 IPS |
|
|
Text Classification (SP)
|
100% |
2660
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1621
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3993
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4869
83.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1743
32.7 IPS |
