LENOVO 21Q6002XIV
Geekbench AI Score
3137
Single Precision Score
2143
Half Precision Score
8170
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | April 07 2025 04:06 PM |
| Views | 9 |
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 21Q6002XIV |
| Motherboard | LENOVO 21Q6002XIV |
| 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% |
1885
350.5 IPS |
|
|
Image Classification (HP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (Q)
|
100% |
5236
973.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4973
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3352
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2229
2.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
12810
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (Q)
|
88% |
5388
431.9 IPS |
|
|
Face Detection (SP)
|
100% |
5455
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
4205
50.0 IPS |
|
|
Face Detection (Q)
|
100% |
12881
153.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4546
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3213
24.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14108
109.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9988
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6486
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
35415
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2076
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7520
278.5 IPS |
|
|
Text Classification (SP)
|
100% |
2142
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1400
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
4352
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2768
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3501
60.3 IPS |
