LENOVO 21Q8CTO1WW
Geekbench AI Score
8474
Single Precision Score
12639
Half Precision Score
5532
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 05:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21Q8CTO1WW |
| Motherboard | LENOVO 21Q8CTO1WW |
| 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% |
4931
916.9 IPS |
|
|
Image Classification (HP)
|
100% |
6058
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
3672
684.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6449
104.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11224
182.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4285
69.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22365
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
41024
47.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18046
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
5937
470.9 IPS |
|
|
Object Detection (HP)
|
100% |
7412
587.9 IPS |
|
|
Object Detection (Q)
|
84% |
4209
339.8 IPS |
|
|
Face Detection (SP)
|
100% |
8666
103.0 IPS |
|
|
Face Detection (HP)
|
100% |
15671
186.2 IPS |
|
|
Face Detection (Q)
|
97% |
6042
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19312
148.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
30339
233.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13834
110.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59682
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
106560
137.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41745
53.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9988
368.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17443
644.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5892
218.2 IPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (Q)
|
97% |
939
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2851
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1164
21.8 IPS |
