LENOVO 21J3CTO1WW
Geekbench AI Score
1355
Single Precision Score
1439
Half Precision Score
1047
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 15 2025 06:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | LENOVO 21J3CTO1WW |
| Motherboard | LENOVO 21J3CTO1WW |
| 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 | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
1072
199.4 IPS |
|
|
Image Classification (Q)
|
99% |
903
168.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1008
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1538
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1585
1.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
1195
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (HP)
|
100% |
761
60.3 IPS |
|
|
Object Detection (Q)
|
85% |
392
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1031
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
1585
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1699
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1687
13.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1409
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2267
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
2336
3.00 IPS |
|
|
Style Transfer (Q)
|
98% |
3699
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1052
39.0 IPS |
|
|
Text Classification (SP)
|
100% |
1803
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1775
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
799
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (Q)
|
58% |
539
12.7 IPS |
