LENOVO 83HM
Geekbench AI Score
2005
Single Precision Score
1029
Half Precision Score
3366
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | May 21 2025 03:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | 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% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.5 IPS |
|
|
Image Classification (Q)
|
99% |
2574
480.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2379
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2956
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1822
2.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
9629
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1298
103.0 IPS |
|
|
Object Detection (HP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (Q)
|
88% |
1347
107.9 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
3441
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3550
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1458
11.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5754
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6457
8.30 IPS |
|
|
Style Transfer (HP)
|
100% |
5116
6.58 IPS |
|
|
Style Transfer (Q)
|
98% |
13959
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3096
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
1185
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.7 IPS |
|
|
Text Classification (Q)
|
97% |
1431
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.91 IPS |
|
|
Machine Translation (Q)
|
60% |
1922
42.9 IPS |
