LENOVO 20EQS12Q02
Geekbench AI Score
1154
Single Precision Score
1565
Half Precision Score
1511
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | somata |
| Upload Date | August 18 2024 01:50 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 530 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20EQS12Q02 |
| Motherboard | LENOVO 20EQS12Q02 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (HP)
|
100% |
960
178.5 IPS |
|
|
Image Classification (Q)
|
100% |
913
169.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1471
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2286
2.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
2017
2.36 IPS |
|
|
Pose Estimation (Q)
|
97% |
2833
3.32 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.2 IPS |
|
|
Object Detection (HP)
|
99% |
1051
83.6 IPS |
|
|
Object Detection (Q)
|
88% |
1001
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
2241
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
3166
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2564
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4040
31.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
3619
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3529
4.54 IPS |
|
|
Style Transfer (HP)
|
100% |
6003
7.72 IPS |
|
|
Style Transfer (Q)
|
98% |
5439
7.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1544
57.2 IPS |
|
|
Text Classification (SP)
|
71% |
348
503.4 IPS |
|
|
Text Classification (HP)
|
71% |
402
582.0 IPS |
|
|
Text Classification (Q)
|
92% |
297
399.6 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
97% |
541
9.35 IPS |
|
|
Machine Translation (Q)
|
90% |
572
9.93 IPS |
