LENOVO 83HM
Geekbench AI Score
6837
Single Precision Score
10586
Half Precision Score
4762
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:20 AM |
| Views | 2 |
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 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% |
4211
783.1 IPS |
|
|
Image Classification (HP)
|
100% |
3916
728.2 IPS |
|
|
Image Classification (Q)
|
100% |
2955
549.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6472
104.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10869
176.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4723
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20278
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
80261
93.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16586
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
4177
331.3 IPS |
|
|
Object Detection (HP)
|
100% |
6359
504.4 IPS |
|
|
Object Detection (Q)
|
88% |
3647
292.5 IPS |
|
|
Face Detection (SP)
|
100% |
8854
105.2 IPS |
|
|
Face Detection (HP)
|
100% |
15476
183.9 IPS |
|
|
Face Detection (Q)
|
97% |
6582
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17764
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
37026
285.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
11936
95.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49810
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
78388
100.8 IPS |
|
|
Style Transfer (Q)
|
98% |
36799
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7649
282.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10198
376.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4965
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
985
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
604
808.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (Q)
|
70% |
821
15.4 IPS |
