LENOVO 21D6004XUS
Geekbench AI Score
2458
Single Precision Score
975
Half Precision Score
3482
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 05:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900HX |
| 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% |
1799
334.5 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.0 IPS |
|
|
Image Classification (Q)
|
99% |
3411
636.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1733
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4072
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
13691
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
86% |
3114
250.3 IPS |
|
|
Face Detection (SP)
|
100% |
4906
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
5313
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5339
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1365
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9086
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10138
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7197
9.25 IPS |
|
|
Style Transfer (Q)
|
98% |
16422
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1264
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2615
96.8 IPS |
|
|
Text Classification (SP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
443
590.8 IPS |
|
|
Text Classification (Q)
|
97% |
320
428.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
65% |
1569
31.5 IPS |
