LENOVO 83HM
Geekbench AI Score
3016
Single Precision Score
3020
Half Precision Score
7478
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 06:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1965
365.4 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.0 IPS |
|
|
Image Classification (Q)
|
100% |
5044
938.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4134
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3392
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3377
3.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
12967
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1903
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
1888
149.7 IPS |
|
|
Object Detection (Q)
|
88% |
5212
417.8 IPS |
|
|
Face Detection (SP)
|
100% |
5648
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
5553
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
12651
150.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4700
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4727
36.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13401
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9989
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10095
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36164
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7620
282.2 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
3551
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2544
43.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2342
40.3 IPS |
