LENOVO 21NS0012US
Geekbench AI Score
2277
Single Precision Score
1240
Half Precision Score
3786
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Jeffnt326 |
| Upload Date | November 21 2024 06:25 AM |
| Views | 3 |
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 21NS0012US |
| Motherboard | LENOVO 21NS0012US |
| Power Plan | Balanced |
| 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% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.2 IPS |
|
|
Image Classification (Q)
|
99% |
2665
497.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2388
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3074
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2566
2.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
11800
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.1 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (Q)
|
88% |
1555
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
3863
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4198
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1885
14.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6535
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7987
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6531
8.40 IPS |
|
|
Style Transfer (Q)
|
98% |
16863
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3611
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
662
883.4 IPS |
|
|
Text Classification (Q)
|
97% |
1582
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2135
47.6 IPS |
