LENOVO 21Q60027US
Geekbench AI Score
2486
Single Precision Score
1231
Half Precision Score
4900
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | June 30 2025 04:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21Q60027US |
| Motherboard | LENOVO 21Q60027US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1641
305.3 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
99% |
4026
751.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2427
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2229
2.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
10949
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
86% |
4159
334.3 IPS |
|
|
Face Detection (SP)
|
100% |
5123
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
6949
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4302
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1770
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10136
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7528
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
5682
7.30 IPS |
|
|
Style Transfer (Q)
|
98% |
16997
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3392
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
1279
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
687
917.2 IPS |
|
|
Text Classification (Q)
|
97% |
1544
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2861
57.5 IPS |
