LENOVO 83D5
Geekbench AI Score
2430
Single Precision Score
1115
Half Precision Score
3699
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | GiMEL |
| Upload Date | January 17 2025 09:08 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83D5 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1779
330.9 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
99% |
6144
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
873
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1656
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3950
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3572
4.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
18426
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
86% |
3404
273.6 IPS |
|
|
Face Detection (SP)
|
100% |
4527
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
6851
81.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5153
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1725
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5728
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9679
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8573
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20120
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1284
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1728
64.0 IPS |
|
|
Text Classification (SP)
|
100% |
1480
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
722
963.1 IPS |
|
|
Text Classification (Q)
|
97% |
397
531.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (Q)
|
65% |
1388
27.9 IPS |
