LENOVO 83DE
Geekbench AI Score
20156
Single Precision Score
31885
Half Precision Score
15679
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ravz85 |
| Upload Date | February 26 2025 03:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Balance Mode |
| 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% |
7746
1.44 KIPS |
|
|
Image Classification (HP)
|
99% |
13092
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
7383
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13184
213.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15798
256.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12124
197.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
109649
127.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
315950
368.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
92762
108.7 IPS |
|
|
Object Detection (SP)
|
100% |
10382
823.5 IPS |
|
|
Object Detection (HP)
|
100% |
15587
1.24 KIPS |
|
|
Object Detection (Q)
|
85% |
8517
685.6 IPS |
|
|
Face Detection (SP)
|
100% |
26279
312.3 IPS |
|
|
Face Detection (HP)
|
100% |
36300
431.3 IPS |
|
|
Face Detection (Q)
|
97% |
22076
263.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
45461
350.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
92923
717.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
38021
304.0 IPS |
|
|
Style Transfer (SP)
|
100% |
249646
320.9 IPS |
|
|
Style Transfer (HP)
|
100% |
553432
711.4 IPS |
|
|
Style Transfer (Q)
|
98% |
196299
253.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31671
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44412
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26069
965.3 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3461
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1829
34.3 IPS |
