LENOVO 21NS0012US
Geekbench AI Score
6434
Single Precision Score
11722
Half Precision Score
4166
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Jeffnt326 |
| Upload Date | November 21 2024 06:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
2857
531.3 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.9 IPS |
|
|
Image Classification (Q)
|
100% |
2256
419.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6433
104.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12197
197.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4654
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20179
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
82975
96.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16568
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
3827
303.5 IPS |
|
|
Object Detection (HP)
|
100% |
6330
502.1 IPS |
|
|
Object Detection (Q)
|
89% |
2875
230.0 IPS |
|
|
Face Detection (SP)
|
100% |
7147
84.9 IPS |
|
|
Face Detection (HP)
|
100% |
13205
156.9 IPS |
|
|
Face Detection (Q)
|
97% |
5358
63.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17254
132.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
31855
245.4 IPS |
|
|
Depth Estimation (Q)
|
75% |
11131
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47604
61.2 IPS |
|
|
Style Transfer (HP)
|
100% |
158272
203.5 IPS |
|
|
Style Transfer (Q)
|
98% |
35171
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7692
284.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13724
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4691
173.7 IPS |
|
|
Text Classification (SP)
|
100% |
742
990.8 IPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
442
591.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2557
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2304
39.7 IPS |
|
|
Machine Translation (Q)
|
60% |
725
16.2 IPS |
