LENOVO 21Q6CTO1WW
Geekbench AI Score
2677
Single Precision Score
27523
Half Precision Score
45732
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | billybobsmoot |
| Upload Date | January 13 2026 03:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
17070
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
23899
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15527
251.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26473
429.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2899
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
84233
98.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
195271
228.7 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
100% |
16037
1.27 KIPS |
|
|
Object Detection (Q)
|
88% |
27290
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4854
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
42933
510.1 IPS |
|
|
Face Detection (Q)
|
100% |
97009
1.15 KIPS |
|
|
Depth Estimation (SP)
|
100% |
3986
30.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
77447
598.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
154597
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
8060
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
199865
256.9 IPS |
|
|
Style Transfer (Q)
|
98% |
362844
467.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34520
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
70178
2.60 KIPS |
|
|
Text Classification (SP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (Q)
|
92% |
3725
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8045
138.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8343
143.7 IPS |
