LENOVO 83HM
Geekbench AI Score
3056
Single Precision Score
29300
Half Precision Score
48490
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | September 06 2025 01:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1895
352.4 IPS |
|
|
Image Classification (HP)
|
100% |
14827
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
21291
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19392
314.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33071
536.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3309
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
111114
129.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
250752
293.7 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
17525
1.39 KIPS |
|
|
Object Detection (Q)
|
88% |
26768
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
5377
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
42459
504.5 IPS |
|
|
Face Detection (Q)
|
100% |
92609
1.10 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4582
35.3 IPS |
|
|
Depth Estimation (HP)
|
92% |
82046
636.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
157402
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
9625
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
240637
309.3 IPS |
|
|
Style Transfer (Q)
|
98% |
411448
530.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39990
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
72535
2.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (Q)
|
92% |
3338
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2900
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8406
144.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10473
180.4 IPS |
