LENOVO 83E1
Geekbench AI Score
4361
Single Precision Score
4531
Half Precision Score
12883
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tobihille |
| Upload Date | January 10 2025 09:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Z1 Extreme |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83E1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| 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% |
3062
569.4 IPS |
|
|
Image Classification (HP)
|
100% |
3180
591.4 IPS |
|
|
Image Classification (Q)
|
100% |
8840
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3273
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3196
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8412
136.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
6009
7.01 IPS |
|
|
Pose Estimation (Q)
|
98% |
25635
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2557
202.8 IPS |
|
|
Object Detection (HP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (Q)
|
88% |
8277
663.5 IPS |
|
|
Face Detection (SP)
|
100% |
5385
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
5493
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
21090
250.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5553
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6762
52.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
15652
121.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15156
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16645
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
65802
84.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3043
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3098
114.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12860
476.2 IPS |
|
|
Text Classification (SP)
|
100% |
3145
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (Q)
|
92% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3961
68.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5242
90.3 IPS |
