LENOVO 83DF
Geekbench AI Score
4531
Single Precision Score
1395
Half Precision Score
7039
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 09:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83DF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3599
669.4 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.6 IPS |
|
|
Image Classification (Q)
|
99% |
5930
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
874
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3460
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9782
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4149
4.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
28185
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
3477
275.8 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.8 IPS |
|
|
Object Detection (Q)
|
86% |
6099
490.2 IPS |
|
|
Face Detection (SP)
|
100% |
9438
112.1 IPS |
|
|
Face Detection (HP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
9944
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10344
79.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1870
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15250
121.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20714
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10300
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24470
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3193
117.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1935
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4537
168.0 IPS |
|
|
Text Classification (SP)
|
100% |
1408
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
613
818.4 IPS |
|
|
Text Classification (Q)
|
97% |
1589
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3165
63.6 IPS |
