LENOVO 21NS0012US
Geekbench AI Score
9797
Single Precision Score
25447
Half Precision Score
29087
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Jeffnt326 |
| Upload Date | November 21 2024 06:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7131
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
13878
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
16352
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9010
146.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20191
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22770
369.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
21782
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
133674
156.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
252587
295.7 IPS |
|
|
Object Detection (SP)
|
100% |
6423
509.5 IPS |
|
|
Object Detection (HP)
|
100% |
14192
1.13 KIPS |
|
|
Object Detection (Q)
|
88% |
14407
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
14387
170.9 IPS |
|
|
Face Detection (HP)
|
100% |
31448
373.7 IPS |
|
|
Face Detection (Q)
|
100% |
38674
459.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24748
190.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58840
453.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
68168
530.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27742
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
160922
206.9 IPS |
|
|
Style Transfer (Q)
|
98% |
182446
235.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9986
368.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29253
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30193
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4966
6.63 KIPS |
|
|
Text Classification (Q)
|
92% |
4364
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2947
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4953
85.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5050
87.0 IPS |
