LENOVO 83HM001KJP LENOVO 83HM
Geekbench AI Score
2266
Single Precision Score
1214
Half Precision Score
3727
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | fuchupc |
| Upload Date | October 13 2024 07:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
2679
499.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2362
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3142
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2539
2.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
11521
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (Q)
|
88% |
1536
123.1 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
3841
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4050
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1820
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6300
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8005
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6397
8.22 IPS |
|
|
Style Transfer (Q)
|
98% |
16242
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3388
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
633
845.5 IPS |
|
|
Text Classification (Q)
|
97% |
1625
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2135
47.6 IPS |
