LENOVO 20TD003TRT
Geekbench AI Score
3095
Single Precision Score
4527
Half Precision Score
7100
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | for_geekbench |
| Upload Date | April 01 2025 11:37 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20TD003TRT |
| Motherboard | LENOVO 20TD003TRT |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
3050
567.2 IPS |
|
|
Image Classification (Q)
|
99% |
3983
742.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4317
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5392
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7254
8.46 IPS |
|
|
Pose Estimation (HP)
|
99% |
5358
6.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
24820
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
3113
246.9 IPS |
|
|
Object Detection (Q)
|
90% |
4656
372.3 IPS |
|
|
Face Detection (SP)
|
100% |
3236
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6800
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
11383
135.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6907
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11631
89.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
15608
121.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17467
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29720
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
54733
70.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2982
110.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4776
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9334
345.7 IPS |
|
|
Text Classification (SP)
|
71% |
1031
1.49 KIPS |
|
|
Text Classification (HP)
|
71% |
1105
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1329
23.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1325
22.8 IPS |
