LENOVO 21NS0003JP
Geekbench AI Score
8180
Single Precision Score
14994
Half Precision Score
5460
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 12:45 PM |
| Views | 4 |
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 21NS0003JP |
| Motherboard | LENOVO 21NS0003JP |
| 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% |
4606
856.5 IPS |
|
|
Image Classification (HP)
|
100% |
4863
904.4 IPS |
|
|
Image Classification (Q)
|
100% |
2954
549.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7218
117.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14252
231.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5108
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
21419
25.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105498
123.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17690
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
4890
387.8 IPS |
|
|
Object Detection (HP)
|
100% |
7831
621.2 IPS |
|
|
Object Detection (Q)
|
88% |
4364
350.0 IPS |
|
|
Face Detection (SP)
|
100% |
9880
117.4 IPS |
|
|
Face Detection (HP)
|
100% |
18469
219.5 IPS |
|
|
Face Detection (Q)
|
97% |
7304
87.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19722
152.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38046
293.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
13433
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50753
65.2 IPS |
|
|
Style Transfer (HP)
|
100% |
173743
223.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39225
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9288
343.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17647
651.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5363
198.6 IPS |
|
|
Text Classification (SP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (Q)
|
97% |
786
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1248
23.4 IPS |
