Thinkpad X1 Carbon Gen5 LENOVO 20HQCTO1WW
Geekbench AI Score
942
Single Precision Score
946
Half Precision Score
1318
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 06:31 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7500U CPU @ 2.70GHz |
| 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% |
650
120.9 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (Q)
|
100% |
978
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1066
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1089
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1005
1.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
1799
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
87% |
861
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1426
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
2243
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1307
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1335
10.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
2156
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2850
3.66 IPS |
|
|
Style Transfer (HP)
|
100% |
2826
3.63 IPS |
|
|
Style Transfer (Q)
|
98% |
5154
6.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
597
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
621
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1081
40.0 IPS |
|
|
Text Classification (SP)
|
100% |
685
914.6 IPS |
|
|
Text Classification (HP)
|
100% |
746
995.5 IPS |
|
|
Text Classification (Q)
|
91% |
341
458.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1071
18.5 IPS |
