Thinkpad X1 Extreme Gen1 LENOVO 20MFCTO1WW
Geekbench AI Score
1287
Single Precision Score
572
Half Precision Score
1700
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 04:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| 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% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
96% |
1862
347.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (Q)
|
97% |
1263
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1753
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1369
1.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
2830
3.35 IPS |
|
|
Object Detection (SP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
58% |
1009
110.2 IPS |
|
|
Face Detection (SP)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
572
6.79 IPS |
|
|
Face Detection (Q)
|
96% |
2541
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1760
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
570
4.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
3093
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3685
4.74 IPS |
|
|
Style Transfer (HP)
|
100% |
2738
3.52 IPS |
|
|
Style Transfer (Q)
|
87% |
5920
7.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
648
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1511
56.0 IPS |
|
|
Text Classification (SP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
471
628.0 IPS |
|
|
Text Classification (Q)
|
97% |
324
434.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
68% |
1321
25.5 IPS |
