LENOVO 83D8
Geekbench AI Score
2008
Single Precision Score
829
Half Precision Score
2830
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 09:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83D8 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1588
295.2 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (Q)
|
99% |
2752
513.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1977
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2098
2.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
19321
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.5 IPS |
|
|
Object Detection (Q)
|
88% |
1548
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
3510
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5599
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1554
12.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
4569
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7103
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
4208
5.41 IPS |
|
|
Style Transfer (Q)
|
98% |
13571
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1927
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
355
473.2 IPS |
|
|
Text Classification (Q)
|
97% |
338
452.7 IPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
60% |
1429
31.9 IPS |
