LENOVO 21KV0017US
Geekbench AI Score
2875
Single Precision Score
1379
Half Precision Score
6037
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jmactx |
| Upload Date | July 25 2025 03:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| 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% |
2850
530.0 IPS |
|
|
Image Classification (HP)
|
100% |
484
89.9 IPS |
|
|
Image Classification (Q)
|
99% |
5193
968.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8543
138.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5909
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3579
4.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
22224
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
86% |
5304
426.3 IPS |
|
|
Face Detection (SP)
|
100% |
7622
90.6 IPS |
|
|
Face Detection (HP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
8911
106.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7255
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1959
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14182
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13651
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8512
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
5683
7.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4497
166.5 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
712
950.9 IPS |
|
|
Text Classification (Q)
|
97% |
1452
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2625
52.7 IPS |
