LENOVO 83HM
Geekbench AI Score
2818
Single Precision Score
2855
Half Precision Score
7172
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | fuchupc |
| Upload Date | October 13 2024 08:13 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1900
353.4 IPS |
|
|
Image Classification (HP)
|
100% |
1925
357.9 IPS |
|
|
Image Classification (Q)
|
100% |
5086
945.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4018
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3038
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2975
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
11883
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (Q)
|
88% |
4546
364.4 IPS |
|
|
Face Detection (SP)
|
100% |
4838
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
5307
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
12258
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4171
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4314
33.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
12585
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9397
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9509
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35472
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1927
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7241
268.2 IPS |
|
|
Text Classification (SP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
3534
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2330
40.1 IPS |
