LENOVO ThinkBook 14 G8 IAL LENOVO 21SJ
Geekbench AI Score
2083
Single Precision Score
2099
Half Precision Score
1541
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | tlmiller76 |
| Upload Date | August 08 2025 01:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | LENOVO 21SJ |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1518
282.3 IPS |
|
|
Image Classification (HP)
|
100% |
1474
274.2 IPS |
|
|
Image Classification (Q)
|
99% |
959
178.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1209
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2939
3.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
3785
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (Q)
|
85% |
1027
82.6 IPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
2431
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2589
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2636
20.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2120
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3868
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3914
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
6708
8.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1703
63.1 IPS |
|
|
Text Classification (SP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (Q)
|
92% |
497
667.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (Q)
|
58% |
576
13.5 IPS |
