LENOVO 83E1
Geekbench AI Score
7986
Single Precision Score
10460
Half Precision Score
5930
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | VTPhantos |
| Upload Date | October 22 2024 11:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
3234
601.5 IPS |
|
|
Image Classification (HP)
|
100% |
4212
783.3 IPS |
|
|
Image Classification (Q)
|
100% |
2720
505.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4566
74.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4606
74.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3670
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
38176
44.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
63300
73.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
31605
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
2816
223.3 IPS |
|
|
Object Detection (HP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (Q)
|
89% |
2254
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
6148
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
9845
117.0 IPS |
|
|
Face Detection (Q)
|
97% |
4807
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17875
137.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23915
184.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
13949
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
66399
85.4 IPS |
|
|
Style Transfer (HP)
|
100% |
103611
133.2 IPS |
|
|
Style Transfer (Q)
|
98% |
51179
66.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14114
521.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18708
690.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9619
356.2 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2494
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1656
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2845
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1384
30.9 IPS |
