LENOVO 83HM
Geekbench AI Score
2137
Single Precision Score
1178
Half Precision Score
3623
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2024 08:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (Q)
|
99% |
2583
481.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2395
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2997
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2524
2.95 IPS |
|
|
Pose Estimation (Q)
|
95% |
11605
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.7 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
88% |
1492
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
1392
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
3697
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3962
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1777
13.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
6097
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7674
9.86 IPS |
|
|
Style Transfer (HP)
|
100% |
6281
8.07 IPS |
|
|
Style Transfer (Q)
|
98% |
15776
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1334
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3373
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
1167
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
625
833.7 IPS |
|
|
Text Classification (Q)
|
97% |
1483
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1813
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2049
45.7 IPS |
