LENOVO 21Q60025US
Geekbench AI Score
2123
Single Precision Score
2132
Half Precision Score
1529
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | bigcat |
| Upload Date | February 28 2026 01:06 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | LENOVO 21Q60025US |
| Motherboard | LENOVO 21Q60025US |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (HP)
|
100% |
1510
280.9 IPS |
|
|
Image Classification (Q)
|
99% |
1037
193.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1154
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2569
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2495
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
2928
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (HP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (Q)
|
85% |
1126
90.6 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (Q)
|
97% |
2377
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2658
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2653
20.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2015
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3925
5.05 IPS |
|
|
Style Transfer (HP)
|
100% |
4000
5.14 IPS |
|
|
Style Transfer (Q)
|
98% |
5585
7.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1442
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
1283
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1257
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
670
899.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (Q)
|
58% |
687
16.1 IPS |
