LENOVO 20Y4S3F500
Geekbench AI Score
14963
Single Precision Score
25208
Half Precision Score
9962
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | m4n |
| Upload Date | February 01 2025 02:39 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 20Y4S3F500 |
| Motherboard | LENOVO 20Y4S3F500 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11950H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6169
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
9617
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
4638
862.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9999
162.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14705
238.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7925
128.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
71526
83.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
219589
256.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
59624
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
7658
607.4 IPS |
|
|
Object Detection (HP)
|
100% |
13179
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
5862
471.9 IPS |
|
|
Face Detection (SP)
|
100% |
18038
214.3 IPS |
|
|
Face Detection (HP)
|
100% |
28997
344.6 IPS |
|
|
Face Detection (Q)
|
97% |
13894
165.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
36000
277.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72137
555.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
24742
198.2 IPS |
|
|
Style Transfer (SP)
|
100% |
133464
171.6 IPS |
|
|
Style Transfer (HP)
|
100% |
353841
454.9 IPS |
|
|
Style Transfer (Q)
|
98% |
104877
135.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24796
915.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34559
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14344
531.1 IPS |
|
|
Text Classification (SP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3211
4.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1195
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1213
22.7 IPS |
