LENOVO 83E1
Geekbench AI Score
7829
Single Precision Score
10304
Half Precision Score
5980
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tony84 |
| Upload Date | June 17 2025 05:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 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% |
3371
626.8 IPS |
|
|
Image Classification (HP)
|
100% |
4416
821.2 IPS |
|
|
Image Classification (Q)
|
100% |
3108
578.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4620
74.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4761
77.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3743
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
36413
42.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59511
69.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
29630
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
2827
224.3 IPS |
|
|
Object Detection (HP)
|
100% |
3582
284.2 IPS |
|
|
Object Detection (Q)
|
87% |
2634
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
6580
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
10982
130.5 IPS |
|
|
Face Detection (Q)
|
97% |
5514
65.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17726
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24220
186.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13970
112.0 IPS |
|
|
Style Transfer (SP)
|
100% |
61187
78.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96037
123.5 IPS |
|
|
Style Transfer (Q)
|
98% |
46216
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12042
444.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17084
630.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8794
325.6 IPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (Q)
|
97% |
1514
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1360
25.5 IPS |
