LENOVO 21EB0041GE
Geekbench AI Score
1285
Single Precision Score
1309
Half Precision Score
1004
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | softxnews |
| Upload Date | August 21 2025 08:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5825U |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | LENOVO 21EB0041GE |
| Motherboard | LENOVO 21EB0041GE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5825U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.55 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 38.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1197
222.6 IPS |
|
|
Image Classification (HP)
|
100% |
1206
224.3 IPS |
|
|
Image Classification (Q)
|
99% |
733
136.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
768
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1310
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1356
1.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
1703
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (HP)
|
100% |
992
78.7 IPS |
|
|
Object Detection (Q)
|
85% |
633
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1677
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1322
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1331
10.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1237
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1362
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1411
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3110
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1010
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
557
748.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (Q)
|
58% |
474
11.1 IPS |
