LENOVO 83EG
Geekbench AI Score
14843
Single Precision Score
24477
Half Precision Score
11642
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 07:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 83EG |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840H with Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5648
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
9194
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
5018
933.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10529
170.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14582
236.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9925
161.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
84184
98.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
219118
255.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
74183
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
7278
577.3 IPS |
|
|
Object Detection (HP)
|
100% |
12705
1.01 KIPS |
|
|
Object Detection (Q)
|
89% |
6153
492.5 IPS |
|
|
Face Detection (SP)
|
100% |
16518
196.3 IPS |
|
|
Face Detection (HP)
|
100% |
25184
299.2 IPS |
|
|
Face Detection (Q)
|
97% |
13940
166.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33942
261.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
67797
522.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
27826
223.6 IPS |
|
|
Style Transfer (SP)
|
100% |
129147
166.0 IPS |
|
|
Style Transfer (HP)
|
100% |
321802
413.7 IPS |
|
|
Style Transfer (Q)
|
98% |
116997
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24603
908.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39281
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18738
693.9 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
2665
3.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1464
32.7 IPS |
