LENOVO 83D5
Geekbench AI Score
2476
Single Precision Score
608
Half Precision Score
3514
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 (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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
99% |
4787
892.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1841
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6363
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4027
4.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
15343
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1928
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
88
6.98 IPS |
|
|
Object Detection (Q)
|
88% |
1431
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
2033
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
259
3.08 IPS |
|
|
Face Detection (Q)
|
97% |
2924
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7624
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
755
5.82 IPS |
|
|
Depth Estimation (Q)
|
76% |
9136
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5046
6.49 IPS |
|
|
Style Transfer (HP)
|
100% |
13724
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18427
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2314
85.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3288
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
435
582.0 IPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
60% |
2108
47.0 IPS |
