Thinkpad X1 Carbon Gen5 LENOVO 20HQCTO1WW
Geekbench AI Score
1168
Single Precision Score
1803
Half Precision Score
1741
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 06:41 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20HQCTO1WW |
| Motherboard | LENOVO 20HQCTO1WW |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
837
155.7 IPS |
|
|
Image Classification (HP)
|
100% |
1331
247.4 IPS |
|
|
Image Classification (Q)
|
100% |
1208
224.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
884
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1488
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1789
2.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
1611
1.89 IPS |
|
|
Pose Estimation (Q)
|
97% |
2595
3.04 IPS |
|
|
Object Detection (SP)
|
100% |
646
51.3 IPS |
|
|
Object Detection (HP)
|
99% |
1180
93.9 IPS |
|
|
Object Detection (Q)
|
88% |
1113
89.3 IPS |
|
|
Face Detection (SP)
|
100% |
1863
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (Q)
|
97% |
3057
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2067
15.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3696
28.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
3377
26.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4897
6.30 IPS |
|
|
Style Transfer (HP)
|
100% |
6678
8.58 IPS |
|
|
Style Transfer (Q)
|
98% |
6174
7.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
838
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1504
55.7 IPS |
|
|
Text Classification (SP)
|
71% |
480
694.5 IPS |
|
|
Text Classification (HP)
|
71% |
684
990.0 IPS |
|
|
Text Classification (Q)
|
92% |
495
664.3 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1040
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1043
18.0 IPS |
