LENOVO 21Q7CTO1WW
Geekbench AI Score
2758
Single Precision Score
1120
Half Precision Score
5440
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 12:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 228V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21Q7CTO1WW |
| Motherboard | LENOVO 21Q7CTO1WW |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 228V |
| 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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.1 IPS |
|
|
Image Classification (Q)
|
99% |
4382
817.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6437
104.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4284
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2401
2.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
14150
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.7 IPS |
|
|
Object Detection (HP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
86% |
4438
356.6 IPS |
|
|
Face Detection (SP)
|
100% |
6097
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
1251
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
7238
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5315
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1608
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11603
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10195
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6242
8.02 IPS |
|
|
Style Transfer (Q)
|
98% |
17871
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1230
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3543
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
1200
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
531
709.1 IPS |
|
|
Text Classification (Q)
|
97% |
1142
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1714
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2111
42.4 IPS |
