LENOVO 21Q6CTO1WW
Geekbench AI Score
2597
Single Precision Score
1803
Half Precision Score
6938
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | billybobsmoot |
| Upload Date | January 13 2026 03:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 238V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21Q6CTO1WW |
| Motherboard | LENOVO 21Q6CTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1672
310.9 IPS |
|
|
Image Classification (HP)
|
100% |
1090
202.7 IPS |
|
|
Image Classification (Q)
|
100% |
4465
830.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4315
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2796
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1741
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
9999
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
100% |
1101
87.4 IPS |
|
|
Object Detection (Q)
|
88% |
4579
367.1 IPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (Q)
|
100% |
11798
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3779
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2688
20.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
12280
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8124
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5274
6.78 IPS |
|
|
Style Transfer (Q)
|
98% |
31388
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1222
45.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6479
239.9 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1270
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
3589
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2393
41.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2773
47.8 IPS |
