LENOVO 21Q6002XIV
Geekbench AI Score
10040
Single Precision Score
24180
Half Precision Score
26893
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | April 07 2025 04:12 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
6812
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
11430
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
14976
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8995
145.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23614
382.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
28646
464.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20628
24.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
125372
146.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
248510
290.9 IPS |
|
|
Object Detection (SP)
|
100% |
6321
501.4 IPS |
|
|
Object Detection (HP)
|
100% |
14903
1.18 KIPS |
|
|
Object Detection (Q)
|
88% |
14527
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
12174
144.7 IPS |
|
|
Face Detection (HP)
|
100% |
27059
321.5 IPS |
|
|
Face Detection (Q)
|
100% |
34599
411.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21036
162.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56111
432.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
64359
500.5 IPS |
|
|
Style Transfer (SP)
|
100% |
45385
58.3 IPS |
|
|
Style Transfer (HP)
|
100% |
142661
183.4 IPS |
|
|
Style Transfer (Q)
|
98% |
135341
174.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9105
336.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24354
899.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25721
952.6 IPS |
|
|
Text Classification (SP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4458
5.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2848
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3114
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5763
99.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5788
99.7 IPS |
