LENOVO 83E2
Geekbench AI Score
2895
Single Precision Score
2909
Half Precision Score
6581
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 28 2025 06:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83E2 |
| 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% |
1506
280.2 IPS |
|
|
Image Classification (HP)
|
100% |
1494
277.8 IPS |
|
|
Image Classification (Q)
|
100% |
4097
762.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4492
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4918
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4399
5.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
13753
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (Q)
|
88% |
4099
328.6 IPS |
|
|
Face Detection (SP)
|
100% |
4828
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
4824
57.3 IPS |
|
|
Face Detection (Q)
|
100% |
9091
108.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4305
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4290
33.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
9889
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11721
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12536
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38406
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2145
79.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7069
261.8 IPS |
|
|
Text Classification (SP)
|
100% |
1674
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3082
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2029
35.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1954
33.7 IPS |
