LENOVO 83HM
Geekbench AI Score
2181
Single Precision Score
1198
Half Precision Score
3695
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 26 2024 01:14 PM |
| Views | 3 |
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 |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
99% |
2623
489.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2396
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3043
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2587
3.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
11811
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (Q)
|
88% |
1528
122.5 IPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
1410
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
3737
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3991
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1828
14.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6157
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7755
9.97 IPS |
|
|
Style Transfer (HP)
|
100% |
6354
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
16167
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3379
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
1178
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
632
843.6 IPS |
|
|
Text Classification (Q)
|
97% |
1616
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2064
46.0 IPS |
