LENOVO 21F8004BUS
Geekbench AI Score
2275
Single Precision Score
1076
Half Precision Score
5021
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 03:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21F8004BUS |
| Motherboard | LENOVO 21F8004BUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840U |
| 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% |
1703
316.6 IPS |
|
|
Image Classification (HP)
|
100% |
427
79.5 IPS |
|
|
Image Classification (Q)
|
99% |
5505
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
2463
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3340
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2767
3.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
13771
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
86% |
5113
410.9 IPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
1213
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
7388
88.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4615
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1687
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8731
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8316
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7245
9.31 IPS |
|
|
Style Transfer (Q)
|
98% |
18389
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2453
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
1225
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
574
766.4 IPS |
|
|
Text Classification (Q)
|
97% |
1472
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
65% |
2492
50.1 IPS |
