LENOVO 21Q6002XIV
Geekbench AI Score
2534
Single Precision Score
1309
Half Precision Score
4965
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | April 07 2025 04:00 PM |
| Views | 13 |
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 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% |
1785
332.0 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
99% |
4161
776.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
875
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2448
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2686
3.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
12209
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
86% |
3983
320.1 IPS |
|
|
Face Detection (SP)
|
100% |
5046
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
6883
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4592
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1955
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10490
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8070
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6731
8.65 IPS |
|
|
Style Transfer (Q)
|
98% |
17552
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3364
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
1214
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
679
906.6 IPS |
|
|
Text Classification (Q)
|
97% |
1562
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2761
55.5 IPS |
