LENOVO 21KSCTO1WW
Geekbench AI Score
11845
Single Precision Score
21712
Half Precision Score
9229
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 31 2025 03:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 500 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KSCTO1WW |
| Motherboard | LENOVO 21KSCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4779
888.8 IPS |
|
|
Image Classification (HP)
|
99% |
9865
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
4552
849.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9115
147.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13987
226.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7920
128.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
44676
52.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
133012
155.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
35896
42.1 IPS |
|
|
Object Detection (SP)
|
100% |
5970
473.6 IPS |
|
|
Object Detection (HP)
|
100% |
11102
880.6 IPS |
|
|
Object Detection (Q)
|
84% |
5404
435.8 IPS |
|
|
Face Detection (SP)
|
100% |
12005
142.6 IPS |
|
|
Face Detection (HP)
|
100% |
22815
271.1 IPS |
|
|
Face Detection (Q)
|
97% |
10531
125.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23617
182.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
54261
418.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20606
164.4 IPS |
|
|
Style Transfer (SP)
|
100% |
89098
114.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246525
316.9 IPS |
|
|
Style Transfer (Q)
|
98% |
69038
89.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18241
673.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31331
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13345
494.1 IPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3236
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1760
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1822
34.2 IPS |
