LENOVO 21NS0012US
Geekbench AI Score
2983
Single Precision Score
2983
Half Precision Score
7540
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Jeffnt326 |
| Upload Date | November 21 2024 06:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1945
361.7 IPS |
|
|
Image Classification (HP)
|
100% |
1948
362.2 IPS |
|
|
Image Classification (Q)
|
100% |
5013
932.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4211
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3330
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3171
3.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
12539
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (HP)
|
100% |
1844
146.2 IPS |
|
|
Object Detection (Q)
|
88% |
5194
416.4 IPS |
|
|
Face Detection (SP)
|
100% |
5624
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
5649
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
13039
154.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4755
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4690
36.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
13734
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10063
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10039
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36995
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2049
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2094
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7577
280.6 IPS |
|
|
Text Classification (SP)
|
100% |
1892
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1894
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
3548
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2426
41.8 IPS |
