LENOVO 83DX
Geekbench AI Score
7117
Single Precision Score
10326
Half Precision Score
5030
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | taruntom1 |
| Upload Date | September 25 2024 06:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
3959
736.3 IPS |
|
|
Image Classification (Q)
|
100% |
2242
416.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3618
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4328
70.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3008
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37619
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
66723
77.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
26888
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
3508
278.3 IPS |
|
|
Object Detection (Q)
|
89% |
1867
149.4 IPS |
|
|
Face Detection (SP)
|
100% |
5079
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
8860
105.3 IPS |
|
|
Face Detection (Q)
|
97% |
3926
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15202
117.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22858
176.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
11293
91.0 IPS |
|
|
Style Transfer (SP)
|
100% |
61698
79.3 IPS |
|
|
Style Transfer (HP)
|
100% |
99596
128.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41883
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12689
468.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19364
715.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7475
276.8 IPS |
|
|
Text Classification (SP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1748
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3012
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1264
28.2 IPS |
