Thinkpad X1 Extreme Gen1 LENOVO 20MFCTO1WW
Geekbench AI Score
873
Single Precision Score
1022
Half Precision Score
705
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 04:25 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20MFCTO1WW |
| Motherboard | LENOVO 20MFCTO1WW |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
375
69.7 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.7 IPS |
|
|
Image Classification (Q)
|
100% |
373
69.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
450
7.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
2111
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3262
3.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
1929
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (HP)
|
98% |
463
36.9 IPS |
|
|
Object Detection (Q)
|
86% |
403
32.4 IPS |
|
|
Face Detection (SP)
|
100% |
832
9.88 IPS |
|
|
Face Detection (HP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
709
8.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
1503
11.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
1982
15.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
1327
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5260
6.76 IPS |
|
|
Style Transfer (HP)
|
100% |
7830
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4532
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
811
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.1 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.9 IPS |
|
|
Text Classification (Q)
|
97% |
264
353.4 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (Q)
|
70% |
255
4.78 IPS |
