LENOVO 21DC0030US
Geekbench AI Score
14007
Single Precision Score
22658
Half Precision Score
9450
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | matus201 |
| Upload Date | July 18 2025 06:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5500 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 21DC0030US |
| Motherboard | LENOVO 21DC0030US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5788
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
9537
1.77 KIPS |
|
|
Image Classification (Q)
|
100% |
4379
814.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9383
152.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12780
207.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7461
121.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
66727
77.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
200627
234.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
57772
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
7363
584.0 IPS |
|
|
Object Detection (HP)
|
100% |
12736
1.01 KIPS |
|
|
Object Detection (Q)
|
85% |
5479
441.1 IPS |
|
|
Face Detection (SP)
|
100% |
16767
199.2 IPS |
|
|
Face Detection (HP)
|
100% |
31907
379.1 IPS |
|
|
Face Detection (Q)
|
97% |
13469
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30418
234.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
62058
478.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
20971
167.7 IPS |
|
|
Style Transfer (SP)
|
100% |
149007
191.6 IPS |
|
|
Style Transfer (HP)
|
100% |
356821
458.7 IPS |
|
|
Style Transfer (Q)
|
98% |
101479
130.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23021
850.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30574
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13994
518.2 IPS |
|
|
Text Classification (SP)
|
100% |
1894
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1102
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3290
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3375
58.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1243
23.3 IPS |
