LENOVO 21Q8CTO1WW
Geekbench AI Score
17059
Single Precision Score
32406
Half Precision Score
13510
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 05:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 2000 Blackwell Generation Laptop GPU |
| 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% |
7015
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
12937
2.41 KIPS |
|
|
Image Classification (Q)
|
99% |
6631
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12721
206.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21667
351.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12503
203.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
78279
91.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
247690
289.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
71919
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
9031
716.3 IPS |
|
|
Object Detection (HP)
|
100% |
16765
1.33 KIPS |
|
|
Object Detection (Q)
|
87% |
8113
651.1 IPS |
|
|
Face Detection (SP)
|
100% |
23823
283.1 IPS |
|
|
Face Detection (HP)
|
100% |
39587
470.4 IPS |
|
|
Face Detection (Q)
|
97% |
21417
255.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
42258
325.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85097
655.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
33215
265.6 IPS |
|
|
Style Transfer (SP)
|
100% |
122644
157.7 IPS |
|
|
Style Transfer (HP)
|
100% |
421198
541.5 IPS |
|
|
Style Transfer (Q)
|
98% |
105433
136.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22023
813.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45615
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18764
694.8 IPS |
|
|
Text Classification (SP)
|
100% |
2808
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1802
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4334
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4946
85.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1652
31.0 IPS |
