LENOVO 20TA0018ZA
Geekbench AI Score
1839
Single Precision Score
911
Half Precision Score
4217
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 11:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20TA0018ZA |
| Motherboard | LENOVO 20TA0018ZA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
3774
704.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
3958
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2614
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2134
2.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
10137
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
3516
282.6 IPS |
|
|
Face Detection (SP)
|
100% |
2301
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
5309
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3793
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1354
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8045
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6959
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
5334
6.86 IPS |
|
|
Style Transfer (Q)
|
98% |
9817
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1127
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3874
143.4 IPS |
|
|
Text Classification (SP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
649
866.9 IPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (Q)
|
65% |
1693
34.0 IPS |
