LENOVO 21KSCTO1WW
Geekbench AI Score
10893
Single Precision Score
19845
Half Precision Score
8792
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 17 2025 08:26 AM |
| Views | 5 |
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 155H |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4513
839.3 IPS |
|
|
Image Classification (HP)
|
99% |
9098
1.70 KIPS |
|
|
Image Classification (Q)
|
99% |
4243
791.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8273
134.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11857
192.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7270
118.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
39753
46.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121627
141.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34378
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
5693
451.6 IPS |
|
|
Object Detection (HP)
|
100% |
10351
821.1 IPS |
|
|
Object Detection (Q)
|
84% |
5072
409.1 IPS |
|
|
Face Detection (SP)
|
100% |
11188
132.9 IPS |
|
|
Face Detection (HP)
|
100% |
21114
250.9 IPS |
|
|
Face Detection (Q)
|
97% |
9872
117.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24220
186.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
53358
411.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
21236
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
74066
95.2 IPS |
|
|
Style Transfer (HP)
|
100% |
220818
283.9 IPS |
|
|
Style Transfer (Q)
|
98% |
73650
95.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17203
635.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28119
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12635
467.8 IPS |
|
|
Text Classification (SP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (HP)
|
99% |
3104
4.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1625
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3013
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3213
55.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1620
30.4 IPS |
