LENOVO 83HM
Geekbench AI Score
3101
Single Precision Score
1789
Half Precision Score
7911
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Quokka |
| Upload Date | February 09 2025 08:02 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 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| 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% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
828
153.9 IPS |
|
|
Image Classification (Q)
|
100% |
5069
942.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4631
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3331
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2259
2.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
13240
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1910
151.5 IPS |
|
|
Object Detection (HP)
|
100% |
923
73.2 IPS |
|
|
Object Detection (Q)
|
88% |
5306
425.4 IPS |
|
|
Face Detection (SP)
|
100% |
5699
67.7 IPS |
|
|
Face Detection (HP)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (Q)
|
100% |
13679
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4848
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2619
20.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
14212
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10356
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6623
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
36599
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7580
280.7 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (Q)
|
92% |
4553
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2054
35.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2371
40.8 IPS |
