LENOVO 21KV0018US
Geekbench AI Score
8198
Single Precision Score
13142
Half Precision Score
20528
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zsamps |
| Upload Date | April 19 2025 11:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0018US |
| Motherboard | LENOVO 21KV0018US |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5866
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
8909
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
10658
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4606
74.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12870
208.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19780
320.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23269
27.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
21376
25.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
77630
90.9 IPS |
|
|
Object Detection (SP)
|
100% |
4783
379.4 IPS |
|
|
Object Detection (HP)
|
100% |
9199
729.6 IPS |
|
|
Object Detection (Q)
|
88% |
13417
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
8913
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
18896
224.5 IPS |
|
|
Face Detection (Q)
|
100% |
30910
367.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18540
142.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
34003
262.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
40387
313.9 IPS |
|
|
Style Transfer (SP)
|
100% |
58250
74.9 IPS |
|
|
Style Transfer (HP)
|
100% |
71682
92.1 IPS |
|
|
Style Transfer (Q)
|
98% |
185478
239.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9480
350.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14928
551.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24269
898.8 IPS |
|
|
Text Classification (SP)
|
71% |
1739
2.52 KIPS |
|
|
Text Classification (HP)
|
71% |
2624
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2871
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2875
49.5 IPS |
|
|
Machine Translation (HP)
|
96% |
3780
65.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3752
64.6 IPS |
