LENOVO 83E1
Geekbench AI Score
7874
Single Precision Score
10245
Half Precision Score
5742
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 08:00 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83E1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z1 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2982
554.5 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.9 IPS |
|
|
Image Classification (Q)
|
100% |
2433
452.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4373
70.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4662
75.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3559
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
40701
47.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
66879
78.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31706
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
2806
222.5 IPS |
|
|
Object Detection (HP)
|
100% |
3353
265.9 IPS |
|
|
Object Detection (Q)
|
89% |
2400
192.1 IPS |
|
|
Face Detection (SP)
|
100% |
5909
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
9577
113.8 IPS |
|
|
Face Detection (Q)
|
97% |
4591
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17834
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23955
184.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
13639
111.3 IPS |
|
|
Style Transfer (SP)
|
100% |
67166
86.3 IPS |
|
|
Style Transfer (HP)
|
100% |
106449
136.8 IPS |
|
|
Style Transfer (Q)
|
98% |
50174
64.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13700
505.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18912
698.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8311
307.7 IPS |
|
|
Text Classification (SP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2491
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1588
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2889
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2873
49.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1428
31.8 IPS |
