LENOVO 20W9S06700
Geekbench AI Score
2546
Single Precision Score
3343
Half Precision Score
5294
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | LENOVO 20W9S06700 |
| Motherboard | LENOVO 20W9S06700 |
| 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% |
1575
292.9 IPS |
|
|
Image Classification (HP)
|
100% |
1885
350.5 IPS |
|
|
Image Classification (Q)
|
99% |
2677
499.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4245
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5394
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6052
7.06 IPS |
|
|
Pose Estimation (HP)
|
99% |
4672
5.45 IPS |
|
|
Pose Estimation (Q)
|
97% |
19648
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
100% |
2227
176.6 IPS |
|
|
Object Detection (Q)
|
90% |
3289
263.0 IPS |
|
|
Face Detection (SP)
|
100% |
4643
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
6957
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
10970
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5960
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9005
69.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
12808
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16194
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22832
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42198
54.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3369
124.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6970
258.1 IPS |
|
|
Text Classification (SP)
|
71% |
496
718.1 IPS |
|
|
Text Classification (HP)
|
71% |
491
710.2 IPS |
|
|
Text Classification (Q)
|
92% |
501
673.6 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
98% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
896
15.5 IPS |
