LENOVO 83DR
Geekbench AI Score
6591
Single Precision Score
8703
Half Precision Score
4688
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 12:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DR |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
3319
617.2 IPS |
|
|
Image Classification (Q)
|
100% |
2131
396.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3805
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4032
65.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3019
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
36852
43.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
61374
71.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
26481
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.5 IPS |
|
|
Object Detection (HP)
|
100% |
3351
265.8 IPS |
|
|
Object Detection (Q)
|
87% |
2056
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
5754
68.4 IPS |
|
|
Face Detection (HP)
|
100% |
7779
92.4 IPS |
|
|
Face Detection (Q)
|
97% |
4060
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13899
107.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18936
145.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
10831
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
62512
80.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94580
121.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43563
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10583
390.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13806
509.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6057
224.3 IPS |
|
|
Text Classification (SP)
|
100% |
1642
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1773
2.37 KIPS |
|
|
Text Classification (Q)
|
97% |
989
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2281
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2658
45.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1278
24.0 IPS |
