LENOVO 83HM
Geekbench AI Score
2903
Single Precision Score
20256
Half Precision Score
27707
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 26 2024 01:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
1759
327.1 IPS |
|
|
Image Classification (HP)
|
100% |
10997
2.05 KIPS |
|
|
Image Classification (Q)
|
100% |
15892
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11371
184.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13416
217.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3367
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
96972
113.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
190785
223.5 IPS |
|
|
Object Detection (SP)
|
100% |
1846
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
13196
1.05 KIPS |
|
|
Object Detection (Q)
|
87% |
17570
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
5414
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
25823
306.8 IPS |
|
|
Face Detection (Q)
|
100% |
45771
543.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4590
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
65879
507.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
97606
759.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10099
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
199335
256.2 IPS |
|
|
Style Transfer (Q)
|
98% |
288997
372.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30100
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48468
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
2039
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2538
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2882
49.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2924
50.4 IPS |
