Thinkpad X1 Extreme Gen1 LENOVO 20MFCTO1WW
Geekbench AI Score
1425
Single Precision Score
2129
Half Precision Score
2026
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 04:36 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
958
178.1 IPS |
|
|
Image Classification (HP)
|
100% |
1513
281.3 IPS |
|
|
Image Classification (Q)
|
100% |
1382
256.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1776
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2071
2.42 IPS |
|
|
Pose Estimation (HP)
|
99% |
1995
2.33 IPS |
|
|
Pose Estimation (Q)
|
97% |
3063
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (HP)
|
99% |
1444
114.9 IPS |
|
|
Object Detection (Q)
|
88% |
1396
112.0 IPS |
|
|
Face Detection (SP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
4336
51.5 IPS |
|
|
Face Detection (Q)
|
97% |
3620
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2387
18.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4545
35.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
3993
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6173
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
8316
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
7632
9.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1840
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1800
66.7 IPS |
|
|
Text Classification (SP)
|
71% |
588
850.8 IPS |
|
|
Text Classification (HP)
|
71% |
774
1.12 KIPS |
|
|
Text Classification (Q)
|
92% |
557
748.2 IPS |
|
|
Machine Translation (SP)
|
100% |
781
13.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1007
17.4 IPS |
