LENOVO 83D3
Geekbench AI Score
1890
Single Precision Score
953
Half Precision Score
3331
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:50 AM |
| Views | 3 |
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 83D3 |
| 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% |
1124
209.0 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
99% |
3057
570.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
2160
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3092
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2728
3.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
14561
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.3 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
88% |
1238
99.3 IPS |
|
|
Face Detection (SP)
|
100% |
2493
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
4049
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3864
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1420
10.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3675
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7720
9.92 IPS |
|
|
Style Transfer (HP)
|
100% |
7278
9.36 IPS |
|
|
Style Transfer (Q)
|
98% |
18381
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2354
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1191
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
447
596.6 IPS |
|
|
Text Classification (Q)
|
97% |
1241
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1587
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
60% |
1773
39.6 IPS |
