LENOVO 83HM
Geekbench AI Score
3054
Single Precision Score
2118
Half Precision Score
7834
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | September 06 2025 12:56 PM |
| Views | 3 |
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 | 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% |
1889
351.2 IPS |
|
|
Image Classification (HP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (Q)
|
100% |
5224
971.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4938
80.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3232
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2070
2.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
11763
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.8 IPS |
|
|
Object Detection (HP)
|
100% |
1260
100.0 IPS |
|
|
Object Detection (Q)
|
88% |
5188
415.8 IPS |
|
|
Face Detection (SP)
|
100% |
5344
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
4183
49.7 IPS |
|
|
Face Detection (Q)
|
100% |
12448
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4414
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3169
24.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13196
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9261
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6202
7.97 IPS |
|
|
Style Transfer (Q)
|
98% |
33966
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6942
257.1 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
4390
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2825
48.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3256
56.1 IPS |
