LENOVO 83EU
Geekbench AI Score
2586
Single Precision Score
3646
Half Precision Score
5853
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | henriqueffc |
| Upload Date | August 29 2024 03:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 83EU |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.5 IPS |
|
|
Image Classification (Q)
|
99% |
3591
669.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3581
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4396
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4688
5.47 IPS |
|
|
Pose Estimation (HP)
|
99% |
3514
4.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
14450
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
99% |
2135
169.4 IPS |
|
|
Object Detection (Q)
|
90% |
3574
285.8 IPS |
|
|
Face Detection (SP)
|
100% |
4451
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
6704
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
10421
123.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5104
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8459
65.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
12373
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12187
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18985
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32860
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2109
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3371
124.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6853
253.8 IPS |
|
|
Text Classification (SP)
|
71% |
1037
1.50 KIPS |
|
|
Text Classification (HP)
|
71% |
1339
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
1277
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1345
23.3 IPS |
|
|
Machine Translation (Q)
|
89% |
1561
27.1 IPS |
