LENOVO 83HM
Geekbench AI Score
2948
Single Precision Score
1736
Half Precision Score
7638
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 09:23 AM |
| 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 | Zrwnowaony |
| 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% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.0 IPS |
|
|
Image Classification (Q)
|
100% |
4960
922.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4442
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3329
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2201
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
12675
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (Q)
|
88% |
4983
399.5 IPS |
|
|
Face Detection (SP)
|
100% |
5420
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
2395
28.5 IPS |
|
|
Face Detection (Q)
|
100% |
13443
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4708
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2532
19.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
13669
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9900
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6355
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
35245
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7330
271.4 IPS |
|
|
Text Classification (SP)
|
100% |
2143
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
4435
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1985
34.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2307
39.7 IPS |
