| User | for_geekbench |
| Upload Date | April 01 2025 11:33 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1563
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
1622
301.6 IPS |
|
|
Image Classification (Q)
|
100% |
5195
966.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4369
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3026
3.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
12425
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (Q)
|
88% |
4809
385.5 IPS |
|
|
Face Detection (SP)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (Q)
|
100% |
11655
138.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4000
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4082
31.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
12502
97.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8325
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8423
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32125
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1811
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6615
245.0 IPS |
|
|
Text Classification (SP)
|
100% |
1938
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1937
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
3721
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2862
49.3 IPS |