LENOVO 21Q60027US
Geekbench AI Score
3152
Single Precision Score
2113
Half Precision Score
8139
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | June 30 2025 04:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1889
351.4 IPS |
|
|
Image Classification (HP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (Q)
|
100% |
5197
966.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1100
17.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4633
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3388
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
12942
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (HP)
|
100% |
1303
103.3 IPS |
|
|
Object Detection (Q)
|
88% |
5376
430.9 IPS |
|
|
Face Detection (SP)
|
100% |
5614
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
13003
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4664
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3239
25.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
14059
109.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9518
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5614
7.22 IPS |
|
|
Style Transfer (Q)
|
98% |
36226
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7492
277.5 IPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4401
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2832
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3489
60.1 IPS |
