LENOVO 21D6004XUS
Geekbench AI Score
14763
Single Precision Score
23628
Half Precision Score
10163
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 05:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4500 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21D6004XUS |
| Motherboard | LENOVO 21D6004XUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6159
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10426
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
4622
859.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9146
148.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12031
195.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7721
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
78632
91.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
236146
275.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
65582
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
8192
649.8 IPS |
|
|
Object Detection (HP)
|
100% |
13395
1.06 KIPS |
|
|
Object Detection (Q)
|
85% |
6193
498.5 IPS |
|
|
Face Detection (SP)
|
100% |
18796
223.3 IPS |
|
|
Face Detection (HP)
|
100% |
29614
351.9 IPS |
|
|
Face Detection (Q)
|
97% |
14762
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33430
257.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71744
552.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
23635
189.0 IPS |
|
|
Style Transfer (SP)
|
100% |
142647
183.4 IPS |
|
|
Style Transfer (HP)
|
100% |
361994
465.3 IPS |
|
|
Style Transfer (Q)
|
98% |
113535
146.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25500
941.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34305
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15490
573.6 IPS |
|
|
Text Classification (SP)
|
100% |
1918
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1673
2.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1012
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1307
24.5 IPS |
