LENOVO 83HM
Geekbench AI Score
2072
Single Precision Score
1123
Half Precision Score
3466
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 06:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
1374
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
99% |
2754
513.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2398
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3032
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2443
2.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
10772
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.1 IPS |
|
|
Object Detection (Q)
|
88% |
1451
116.3 IPS |
|
|
Face Detection (SP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
3813
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3571
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5817
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7520
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
5922
7.61 IPS |
|
|
Style Transfer (Q)
|
98% |
14864
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2709
100.3 IPS |
|
|
Text Classification (SP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
524
698.8 IPS |
|
|
Text Classification (Q)
|
97% |
1357
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2000
44.6 IPS |
