LENOVO 83HM
Geekbench AI Score
6075
Single Precision Score
10702
Half Precision Score
4270
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 26 2024 01:17 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
2910
541.3 IPS |
|
|
Image Classification (HP)
|
100% |
4243
789.0 IPS |
|
|
Image Classification (Q)
|
100% |
1789
332.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6497
105.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12154
197.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4746
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20575
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
79194
92.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16965
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
4110
326.0 IPS |
|
|
Object Detection (HP)
|
100% |
5644
447.7 IPS |
|
|
Object Detection (Q)
|
89% |
3075
246.1 IPS |
|
|
Face Detection (SP)
|
100% |
8032
95.4 IPS |
|
|
Face Detection (HP)
|
100% |
13317
158.2 IPS |
|
|
Face Detection (Q)
|
97% |
5712
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18587
143.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35810
275.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
10985
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
46389
59.6 IPS |
|
|
Style Transfer (HP)
|
100% |
78807
101.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36913
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3468
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11717
432.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4897
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
591
790.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (Q)
|
60% |
679
15.2 IPS |
