LENOVO 83E1
Geekbench AI Score
7578
Single Precision Score
9881
Half Precision Score
5635
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tobihille |
| Upload Date | January 10 2025 09:23 PM |
| Views | 5 |
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 | 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% |
2729
507.5 IPS |
|
|
Image Classification (HP)
|
100% |
3871
719.8 IPS |
|
|
Image Classification (Q)
|
100% |
2507
466.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4513
73.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4410
71.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3657
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
39542
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
64256
75.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31467
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
2826
224.2 IPS |
|
|
Object Detection (HP)
|
100% |
3544
281.1 IPS |
|
|
Object Detection (Q)
|
87% |
2504
201.1 IPS |
|
|
Face Detection (SP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
10488
124.6 IPS |
|
|
Face Detection (Q)
|
97% |
5626
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16840
129.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22380
172.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12937
103.7 IPS |
|
|
Style Transfer (SP)
|
100% |
67136
86.3 IPS |
|
|
Style Transfer (HP)
|
100% |
102454
131.7 IPS |
|
|
Style Transfer (Q)
|
98% |
50710
65.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12232
451.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16100
594.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7537
279.1 IPS |
|
|
Text Classification (SP)
|
100% |
1816
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2008
2.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1123
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2937
50.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1432
26.9 IPS |
