LENOVO 83E2
Geekbench AI Score
8830
Single Precision Score
13028
Half Precision Score
18914
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 09:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83E2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Vyven |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6055
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
8071
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
9601
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5209
84.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12174
197.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16218
262.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
26217
30.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
23321
27.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
76512
89.6 IPS |
|
|
Object Detection (SP)
|
100% |
5672
449.9 IPS |
|
|
Object Detection (HP)
|
100% |
8354
662.6 IPS |
|
|
Object Detection (Q)
|
88% |
11404
913.9 IPS |
|
|
Face Detection (SP)
|
100% |
10773
128.0 IPS |
|
|
Face Detection (HP)
|
100% |
21075
250.4 IPS |
|
|
Face Detection (Q)
|
100% |
32927
391.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21682
167.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
35994
278.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
39367
306.0 IPS |
|
|
Style Transfer (SP)
|
100% |
61853
79.5 IPS |
|
|
Style Transfer (HP)
|
100% |
74119
95.3 IPS |
|
|
Style Transfer (Q)
|
98% |
183501
236.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10027
370.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16436
606.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23113
856.0 IPS |
|
|
Text Classification (SP)
|
71% |
1665
2.41 KIPS |
|
|
Text Classification (HP)
|
71% |
2619
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2595
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3041
52.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3024
52.1 IPS |
