LENOVO 83HM
Geekbench AI Score
3062
Single Precision Score
1319
Half Precision Score
6073
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 11 2025 03:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Bilanciato |
| 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% |
2385
443.5 IPS |
|
|
Image Classification (HP)
|
100% |
521
97.0 IPS |
|
|
Image Classification (Q)
|
99% |
5189
967.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6956
113.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4860
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3359
3.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
16013
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (Q)
|
86% |
4991
401.1 IPS |
|
|
Face Detection (SP)
|
100% |
6150
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
8394
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5588
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1637
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11597
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10762
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8436
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19865
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2111
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4376
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
699
932.8 IPS |
|
|
Text Classification (Q)
|
97% |
1305
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2143
43.1 IPS |
