LENOVO 83DF
Geekbench AI Score
16505
Single Precision Score
27498
Half Precision Score
12613
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | KoJesko |
| Upload Date | September 17 2024 11:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83DF |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
6250
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
11201
2.09 KIPS |
|
|
Image Classification (Q)
|
100% |
5643
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10948
177.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14033
227.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9900
161.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
91028
106.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
233051
271.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
82279
96.3 IPS |
|
|
Object Detection (SP)
|
100% |
8258
655.0 IPS |
|
|
Object Detection (HP)
|
100% |
14839
1.18 KIPS |
|
|
Object Detection (Q)
|
89% |
6785
543.1 IPS |
|
|
Face Detection (SP)
|
100% |
17347
206.1 IPS |
|
|
Face Detection (HP)
|
100% |
27738
329.6 IPS |
|
|
Face Detection (Q)
|
97% |
15369
183.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
37514
289.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71811
553.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
30612
245.9 IPS |
|
|
Style Transfer (SP)
|
100% |
141891
182.4 IPS |
|
|
Style Transfer (HP)
|
100% |
355780
457.4 IPS |
|
|
Style Transfer (Q)
|
98% |
130957
168.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27404
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45262
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20793
769.9 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
3930
5.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1952
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1307
29.2 IPS |
