LENOVO 83HM
Geekbench AI Score
10086
Single Precision Score
24503
Half Precision Score
27764
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:25 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 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| 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% |
6912
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
13583
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
15563
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8617
139.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18847
305.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22393
363.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21722
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
131053
152.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
240264
281.3 IPS |
|
|
Object Detection (SP)
|
100% |
6222
493.5 IPS |
|
|
Object Detection (HP)
|
100% |
13815
1.10 KIPS |
|
|
Object Detection (Q)
|
88% |
13710
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
13662
162.3 IPS |
|
|
Face Detection (HP)
|
100% |
30447
361.8 IPS |
|
|
Face Detection (Q)
|
100% |
38026
451.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23222
178.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
57897
446.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
65362
508.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50550
65.0 IPS |
|
|
Style Transfer (HP)
|
100% |
153247
197.0 IPS |
|
|
Style Transfer (Q)
|
98% |
172676
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9549
352.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27182
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31999
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4775
6.37 KIPS |
|
|
Text Classification (Q)
|
92% |
3562
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4802
82.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4847
83.5 IPS |
