LENOVO 83E2
Geekbench AI Score
8418
Single Precision Score
12494
Half Precision Score
18365
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:14 AM |
| 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 | 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% |
5525
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
7991
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
9496
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5093
82.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11788
191.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16599
269.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23086
26.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
22327
26.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
74868
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
5180
410.9 IPS |
|
|
Object Detection (HP)
|
100% |
8168
647.9 IPS |
|
|
Object Detection (Q)
|
88% |
11272
903.3 IPS |
|
|
Face Detection (SP)
|
100% |
10746
127.7 IPS |
|
|
Face Detection (HP)
|
100% |
20714
246.1 IPS |
|
|
Face Detection (Q)
|
100% |
31432
373.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19611
151.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
33870
261.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
38708
300.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54255
69.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71101
91.4 IPS |
|
|
Style Transfer (Q)
|
98% |
169031
218.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9881
364.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15059
556.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21705
803.8 IPS |
|
|
Text Classification (SP)
|
71% |
1849
2.67 KIPS |
|
|
Text Classification (HP)
|
71% |
2427
3.51 KIPS |
|
|
Text Classification (Q)
|
92% |
2491
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2545
43.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2961
51.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2951
50.8 IPS |
