Thinkpad X1 Carbon Gen5 LENOVO 20HQCTO1WW
Geekbench AI Score
711
Single Precision Score
396
Half Precision Score
860
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 05:55 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7500U |
| 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% |
557
103.5 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
96% |
665
124.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
554
9.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
877
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
1467
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (Q)
|
58% |
410
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
439
5.22 IPS |
|
|
Face Detection (Q)
|
96% |
1467
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1137
8.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
524
4.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
1559
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2245
2.89 IPS |
|
|
Style Transfer (HP)
|
100% |
1594
2.05 IPS |
|
|
Style Transfer (Q)
|
87% |
3113
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
793
29.4 IPS |
|
|
Text Classification (SP)
|
100% |
504
672.5 IPS |
|
|
Text Classification (HP)
|
100% |
326
434.7 IPS |
|
|
Text Classification (Q)
|
97% |
240
321.6 IPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (Q)
|
68% |
741
14.3 IPS |
