LENOVO 21Q6002XIV
Geekbench AI Score
3157
Single Precision Score
17882
Half Precision Score
26677
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | April 07 2025 04:08 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1866
347.1 IPS |
|
|
Image Classification (HP)
|
100% |
9136
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
12231
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15066
244.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25702
416.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3351
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
99638
116.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
183266
214.7 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
10639
843.9 IPS |
|
|
Object Detection (Q)
|
87% |
15306
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
5603
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
25753
306.0 IPS |
|
|
Face Detection (Q)
|
100% |
50837
604.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4666
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
54324
418.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
78035
607.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10058
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
185202
238.1 IPS |
|
|
Style Transfer (Q)
|
98% |
259379
334.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21269
785.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42006
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1356
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3077
53.0 IPS |
