LENOVO 21KV0017US
Geekbench AI Score
8379
Single Precision Score
13575
Half Precision Score
20572
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jmactx |
| Upload Date | July 25 2025 05:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0017US |
| Motherboard | LENOVO 21KV0017US |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5917
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
9008
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
10445
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4701
76.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12597
204.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18950
307.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23566
27.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
23534
27.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
80853
94.7 IPS |
|
|
Object Detection (SP)
|
100% |
5476
434.3 IPS |
|
|
Object Detection (HP)
|
100% |
9199
729.7 IPS |
|
|
Object Detection (Q)
|
88% |
13382
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
9694
115.2 IPS |
|
|
Face Detection (HP)
|
100% |
20268
240.8 IPS |
|
|
Face Detection (Q)
|
100% |
33391
396.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19797
152.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
33813
261.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
40939
318.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54276
69.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72761
93.5 IPS |
|
|
Style Transfer (Q)
|
98% |
181752
234.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10100
373.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15585
575.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23466
869.0 IPS |
|
|
Text Classification (SP)
|
71% |
1692
2.45 KIPS |
|
|
Text Classification (HP)
|
71% |
2708
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2679
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2671
46.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4111
71.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4060
70.2 IPS |
