LENOVO 21Q6CTO1WW
Geekbench AI Score
2642
Single Precision Score
1182
Half Precision Score
5611
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | billybobsmoot |
| Upload Date | January 13 2026 03:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2195
408.2 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
99% |
4417
823.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6603
107.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4186
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
11031
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (Q)
|
86% |
4641
373.0 IPS |
|
|
Face Detection (SP)
|
100% |
6096
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
7552
90.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5783
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1803
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12199
97.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10617
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7803
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19288
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2001
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4080
151.1 IPS |
|
|
Text Classification (SP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
592
789.9 IPS |
|
|
Text Classification (Q)
|
97% |
1206
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1695
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2370
47.6 IPS |
