Thinkpad X1 Extreme Gen1 LENOVO 20MFCTO1WW
Geekbench AI Score
1676
Single Precision Score
1895
Half Precision Score
2451
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 04:30 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
1299
241.5 IPS |
|
|
Image Classification (Q)
|
100% |
752
139.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2113
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2171
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2216
2.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
4438
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (HP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (Q)
|
87% |
1617
129.7 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
4925
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2192
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2720
21.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
5510
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6197
7.97 IPS |
|
|
Style Transfer (HP)
|
100% |
6163
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
12160
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1315
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2284
84.6 IPS |
|
|
Text Classification (SP)
|
100% |
560
747.2 IPS |
|
|
Text Classification (HP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (Q)
|
91% |
453
608.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2014
34.7 IPS |
